Department Details
Department of Statistics
| 1) | Karamchandani, B.M., Maurya, P.A., Awale, M., Dalvi, S. G., Banat, I. M., Satpute, S. K. (2024). Optimization of fungal chitosan production from Cunninghamella echinulata using statistical designs. 3 Biotech,
14 (82), 1-15.
ISSN(print/online): 2190-572X/2190-5738,
URL/DOI: http://dx.doi.org/10.1007/s13205-024-03919-6
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| 2) | Limaye, S., Shelke, A., Kale, M.M., Kulkarni-Kale, U., Kuchipudi, S.V. (2024). IDV Typer: An Automated Tool for Lineage Typing of Influenza D Viruses Based on Return Time Distribution. Viruses,
16 (3), 373.
ISSN(print/online): 1999-4915,
URL/DOI: http://dx.doi.org/10.3390/v16030373
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| 3) | Tamhane, V., Kashikar, A., Gole, C., Bodkhe, B., Gulanikar, N., Hedda, G., Datkhile, P., Jaybhaye, R., Bhargava, S., Sardesai, M. (2024). Forest species diversity and community composition in the northern Western Ghats, India. Plant Ecology & Diversity,
17 (1-2), 47-64.
ISSN(print/online): 1755-0874/1755-1668,
URL/DOI: http://dx.doi.org/10.1080/17550874.2024.2352372
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| 4) | Hanagal, D.D. (2024). Correlated compound Poisson frailty models based on reversed hazard rate. Communications in Statistics-Theory and Methods,
53 (4), 1-19. Google Scholar Citations: 1,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2022.2098336
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| 5) | Hanagal, D.D. (2024). Analysis of kidney infection data using correlated compound poisson frailty models. Model Assisted Statistics and Applications,
19 (2), 159-171.
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-231452
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| 6) | Kurade, S., Latpate, R., Gedam, V. (2024). Multi-objective mixed mode sugarcane transportation model using fuzzy NSGA. OPSEARCH,
1-29.
ISSN(print/online): 0030-3887/0975-0320,
URL/DOI: http://dx.doi.org/10.1007/s12597-024-00800-1
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| 7) | Latpate, R., Bhosale, M., Kurade, S. (2024). Green Reverse Supply Chain Models with Fuzzy Stochastic Re-manufacturing Capacity. International Journal of Fuzzy Systems,
26 (2), 403-417.
ISSN(print/online): 1562-2479/2199-3211,
URL/DOI: http://dx.doi.org/10.1007/s40815-023-01595-x
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| 8) | Bhoyar, S.S., Chaudhari, A.U., Desai, M.A., Latpate, R.V., Sartale, S.D., Kodam, K.M. (2024). Wheat bran as an efficient agro-process waste for enhanced yellow laccase production by Lentinus tigrinus SSB_W2 and its application in anthraquinone dye degradation. 3 Biotech,
14 (1), 33.
ISSN(print/online): 2190-572X/2190-5738,
URL/DOI: http://dx.doi.org/10.1007/s13205-023-03881-9
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| 9) | Awale, M., Kashikar, A.S. (2023). A random coefficient integer autoregressive model of order one with seasonal structure (RCINAR(1)s). Model Assisted Statistics and Applications,
18 (1), 1-12.
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-211333
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| 10) | Almuhayfith, F.E., Okereke, E.W., Awale, M., Bakouch, H.S., Alqifari, H.N. (2023). Some developments on seasonal INAR processes with application to influenza data. Scientific Reports,
13 (1), 22037.
ISSN(print/online): 2045-2322,
URL/DOI: http://dx.doi.org/10.1038/s41598-023-48805-y
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| 11) | Awale, M., Kashikar, A.S., Ramanathan T.V. (2023). Forecasting overdispersed INAR(1) count time series with negative binomial marginal. Communications in Statistics-Simulation and Computation,
52 (6), 2497-2517. WoS Citations: 1,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2021.1908559
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| 12) | Adhav, D.K., Ramanathan, T.V. (2023). Modified Expected Shortfall: a Coherent Risk Measure for Elliptical Family of Distributions. Sankhya B: The Indian Journal of Statistics,
85, 234–256 .
ISSN(print/online): 0976-8386/0976-8394,
URL/DOI: http://dx.doi.org/10.1007/s13571-022-00294-1
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| 13) | Sabera Nunkoo, H.B., Gonpot, P., Ramanathan, T.V., Sookia, N.U.H. (2023). Conditional and unconditional intraday value-at-risk models: an application to high-frequency tick-by-tick exchange-traded fund data. Journal of Risk,
26 (2), 1-31.
ISSN(print/online): 1465-1211/1755-2842,
URL/DOI: http://dx.doi.org/10.21314/JOR.2023.013
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| 14) | Pandhare, S.C., Ramanathan, T.V. (2023). The robust desparsified lasso and the focused information criterion for high-dimensional generalized linear models. Statistics,
57 (1), 1-25.
ISSN(print/online): 0233-1888/1029-4910,
URL/DOI: http://dx.doi.org/10.1080/02331888.2022.2154769
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| 15) | Patil, D.D., Naik-Nimbalkar, U.V., Kale, M.M. (2023). Estimation of P[Y< X] for Dependence of Stress–Strength Models with Weibull Marginals. Annals of Data Science,
11 (4), 1303-1340.
ISSN(print/online): 2198-5804/2198-5812,
URL/DOI: http://dx.doi.org/10.1007/s40745-023-00487-z
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| 16) | Jagtap, R.S., Kale, M.M., Gedam, V.K. (2023). Exploring hidden patterns in rainfall in Mula-Mutha and Bhima sub-basin of Upper Krishna Valley using statistical trend analysis for water resources planning. International Journal of Hydrology Science and Technology,
15 (2), 154-176.
ISSN(print/online): 2042-7808/2042-7816,
URL/DOI: http://dx.doi.org/10.1504/IJHST.2023.128740
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| 17) | Dhamale, P.S., Kashikar, A.S. (2023). Outlier detection in cylindrical data based on Mahalanobis distance. Communications in Statistics-Simulation and Computation,
Google Scholar Citations: 1,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2023.2252630
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| 18) | Hanagal, D.D. (2023). Correlated compound geometric frailty models based on reversed hazard rate. Model Assisted Statistics and Applications,
18 (2), 149-164. Google Scholar Citations: 1,
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-221414
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| 19) | Latpate, R.V., Bhosale, M.R., Hanagal, D.D. (2023). Inventory Model for Perishable Items with Age Dependent Demand. International Journal of Statistics and Reliability Engineering,
10 (1), 26-32.
ISSN(print/online): 2350-0174,
URL/DOI: https://ijsreg.com/article/view/inventory-model-for-perishable-items-with-age-dependent-demand
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| 20) | Hanagal, D.D., Dabade, A.D. (2023). Modeling Bivariate Survival Data By Compound Frailty Distributions. Statistics and Applications,
21 (2), 299-316.
ISSN(print/online): 2454-7395,
URL/DOI: https://ssca.org.in/journalvolumes/1/
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| 21) | Hanagal, D.D. (2023). Compound Poisson shared frailty models based on additive hazards. Communications in Statistics-Theory and Methods,
52 (17), 6287-6309.
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2022.2027453
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| 22) | Latpate, R., Bhosale, M., Kurade, S. (2023). Cold supply chain inventory models for agricultural products with multi-stage stochastic deterioration rates. Journal of Management Analytics,
10 (3), 516-549.
ISSN(print/online): 2327-0012/2327-0039,
URL/DOI: http://dx.doi.org/10.1080/23270012.2023.2229312
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| 23) | Mokat, D.N., Salvi P P., Kamble, P.N., Awale, M.S., Kharat, T.D., Mahadam, P.D. (2022). Propagation studies on threatened and medicinally important Rauvolfia serpentina (L.) Benth. ex Kurz through stem and root cuttings. International Journal of Botany Studies,
7 (6), 69-78.
ISSN(print/online): 2455-541X,
URL/DOI: https://www.botanyjournals.com/archives/2022/vol7/issue6/7-6-14
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| 24) | Jaybhaye, R., Nandusekar, P., Awale, M., Paul, D., Kulkarni, U., Jadhav, J., Mukkannawar, U., Kamble, P. (2022). Analysis of seasonal variation in surface water quality and water quality index (WQI) of Amba River from Dolvi Region, Maharashtra, India. Arabian Journal of Geosciences,
15, 1261.
ISSN(print/online): 1866-7511/1866-7538,
URL/DOI: http://dx.doi.org/10.1007/s12517-022-10542-3
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| 25) | Nunkoo, H.B.S., Gonpot, P.N., Ramanathan, T.V. (2022). Autoregressive conditional duration models for high frequency financial data: an empirical study on mid cap exchange traded funds. Studies in Economics and Finance,
39 (1), 150-173.
ISSN(print/online): 1086-7376,
URL/DOI: http://dx.doi.org/10.1108/SEF-04-2021-0146
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| 26) | Gadre, M.P., Kakade, V.C. (2022). Sample based side sensitive group runs control chart to detect shifts in the process mean. Communications in Statistics-Simulation and Computation,
51 (1), 190-200.
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2019.1648825
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| 27) | Gadre, M.P., Kakade, V.C. (2022). Some side sensitive group runs based control charts to detect shifts in the process median. Communications in Statistics-Simulation and Computation,
51 (4), 1474-1487. Google Scholar Citations: 5, WoS Citations: 3,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2019.1672736
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| 28) | Ramtirthkar, M., Kale, M. (2022). Maximum likelihood estimation and the local asymptotic mixed normality in a second-order branching process with continuous state space. Stat,
11 (1), e430.
ISSN(print/online): 2049-1573,
URL/DOI: http://dx.doi.org/10.1002/sta4.430
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| 29) | Shende, S., Kale, M., Gupte, N. (2022). Modeling maternal infant HIV transmission having variable hazard rates with two lag time distributions. Communications in Statistics-Simulation and Computation,
51 (6), 2858-2870.
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2019.1702691
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| 30) | Ramtirthkar, M., Kale, M. (2022). Multiplicative controlled branching process with immigration. Communications in Statistics-Theory and Methods,
51 (21), 7683-7690.
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2021.1887237
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| 31) | Patil, D., Naik-Nimbalkar, U.V., Kale, M.M. (2022). Effect of Dependency on the Estimation of P [Y < X] in Exponential Stress-strength Models. Austrian Journal of Statistics,
51 (4), 10–34.
ISSN(print/online): 1026-597X,
URL/DOI: http://dx.doi.org/10.17713/ajs.v51i4.1293
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| 32) | Ramtirthkar, M., Kale, M. (2022). A note on the local asymptotic mixed normality of a controlled branching process with a random control function. Statistics and Probability Letters,
181, 109270.
ISSN(print/online): 0167-7152/1879-7152,
URL/DOI: http://dx.doi.org/10.1016/j.spl.2021.109270
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| 33) | Pandey, A., Hanagal, D.D., Tyagi, S. (2022). Shared Frailty Models Based on Cancer Data. International Journal of Statistics and Reliability Engineering,
9 (3), 461-474.
ISSN(print/online): 2350-0174,
URL/DOI: https://ijsreg.com/article/view/shared-frailty-models-based-on-cancer-data
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| 34) | Pandey, A., Hanagal, D.D., Tyagi, S (2022). Generalised Lindley shared additive frailty regression model for bivariate survival data. Statistics in Transition,
23 (4), 161-176.
ISSN(print/online): 1234-7655/2450-0291,
URL/DOI: http://dx.doi.org/10.2478/stattrans-2022-0048
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| 35) | Pandey, A., Hanagal, D.D., Tyagi, S., Gupta, P. (2022). Generalized Lindley Shared Frailty Based on Reversed Hazard Rate. International Journal of Reliability, Quality and Safety Engineering,
29 (1), 2150040. Google Scholar Citations: 2,
ISSN(print/online): 0218-5393/1793-6446,
URL/DOI: http://dx.doi.org/10.1142/S0218539321500406
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| 36) | Hanagal, D.D. (2022). Correlated Inverse Gaussian Frailty Models Based on Reversed Hazard Rate. Statistics and Applications,
20 (1), 89-111. Google Scholar Citations: 4,
ISSN(print/online): 2454-7395,
URL/DOI: https://www.ssca.org.in/media/6_Hanagal.pdf
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| 37) | Hanagal, D.D. (2022). Correlated Positive Stable Frailty Models Based on Reversed Hazard Rate. Statistics in Biosciences,
14 (1), 42–65.
ISSN(print/online): 1867-1764/1867-1772,
URL/DOI: http://dx.doi.org/10.1007/s12561-021-09313-7
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| 38) | Latpate, R., Kurade, S.S. (2022). Multi-Objective Multi-Index Transportation Model for Crude Oil Using Fuzzy NSGA-II. IEEE Transactions on Intelligent Transportation Systems,
23 (2), 1347-1356. Google Scholar Citations: 5, WoS Citations: 2,
ISSN(print/online): 1524-9050 /1558-0016 ,
URL/DOI: http://dx.doi.org/10.1109/TITS.2020.3024693
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| 39) | Aghaei, M., Kulkarni, S.D., Jaybhaye, R., Latpate, R. (2022). Analytical Study on Salinity of Pre and Post Monsoon Ground Water from Daund - Pune District. International Journal of Research Publication and Reviews,
3 (8), 1749-1754.
ISSN(print/online): 2582-7421,
URL/DOI: https://ijrpr.com/uploads/V3ISSUE8/IJRPR6626.pdf
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| 40) | Kamble, P., Bodane, P.S., Beig, G., Awale, M., Mane, U.M.A.V., Mujumdar, M., Kuchekar, S.R., Patil, V.N. (2021). Impact of transport sector emissions on biochemical characteristics of plants and mitigation strategy in Pune, India. Environmental Challenges,
4 (1), 100081.
ISSN(print/online): 2667-0100,
URL/DOI: http://dx.doi.org/10.1016/j.envc.2021.100081
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| 41) | Chipade, R.A., Ramanathan, T.V. (2021). Extended Kalman filter based statistical orbit determination for geostationary and geosynchronous satellite orbits in BeiDou constellation. Contributions to Geophysics and Geodesy,
51 (1), 25-46.
ISSN(print/online): 1338-0540,
URL/DOI: http://dx.doi.org/10.31577/congeo.2021.51.1.2
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| 42) | Ramanathan, T.V., Pandhare, S.C. (2021). The Focused Information Criterion for Logistic Time Series Regression Models Under Locally Biased Estimating Functions. Journal of Statistical Theory and Practice,
15 (2), 31.
ISSN(print/online): 1559-8608/1559-8616,
URL/DOI: http://dx.doi.org/10.1007/s42519-021-00169-0
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| 43) | Gadre, M. P., Venegurkar, S. S. (2021). Erratum: "Improved Alternated Charting Statistic Multi-Attribute Control Chart to Identify Process Deterioration". International Journal of Reliability, Quality and Safety Engineering,
29 (1), 2192001.
ISSN(print/online): 0218-5393/1793-6446,
URL/DOI: http://dx.doi.org/10.1142/S0218539321920017
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| 44) | Jagtap, R.S., Kale, M.M., Gedam, V.K. (2021). Tail aligned composite quantile estimator for bootstrapping of high quantiles. Communications in Statistics: Case Studies, Data Analysis and Applications,
7 (3), 494-515.
ISSN(print/online): 2373-7484,
URL/DOI: http://dx.doi.org/10.1080/23737484.2021.1915900
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| 45) | Ramtirthkar, M., Kale, M. (2021). Joint estimation of the offspring mean and offspring variance of a second order branching process. Communications in Statistics-Theory and Methods,
50 (6), 1314-1324.
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2019.1649427
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| 46) | Vaidya, S.R., Kasibhatla, S.M., Kamble, M.B., Munivenkatappa, A., Kumbhar, N.S., Jayaswamy, M.M., Ramtirthkar, M.R., Kale, M.M., Kulkarni-Kale, U. (2021). Genetic and antigenic characterization of wild type rubella viruses isolated from India. Vaccine,
39 (6),
ISSN(print/online): 0264-410X/1873-2518,
URL/DOI: http://dx.doi.org/10.1016/j.vaccine.2020.12.063
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| 47) | Limaye, S., Kasibhatla, S.M., Ramtirthkar, M., Kinikar, M., Kale, M.M., Kulkarni-Kale, U. (2021). Circulation and Evolution of SARS-CoV-2 in India: Let the Data Speak. Viruses,
13 (11), 2238. WoS Citations: 5,
ISSN(print/online): 1999-4915,
URL/DOI: http://dx.doi.org/10.3390/v13112238
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| 48) | Tamhane, V.A., Sant, S.S., Jadhav, A.R., War, A.R., Sharma, H.C., Jaleel, A., Kashikar, A.S. (2021). Label-free quantitative proteomics of Sorghum bicolor reveals the proteins strengthening plant defense against insect pest Chilo partellus. Proteome Science,
19 (1), 6. WoS Citations: 3,
ISSN(print/online): 1477-5956,
URL/DOI: http://dx.doi.org/10.1186/s12953-021-00173-z
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| 49) | Hanagal, D. (2021). Correlated positive stable frailty models. Communications in Statistics-Theory and Methods,
50 (23), 5617-5633. Google Scholar Citations: 2, WoS Citations: 5,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2020.1736305
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| 50) | Pandey, A., Hanagal, D.D., Tyagi, S. (2021). Generalized Lindley Shared Frailty Models. Statistics and Applications,
19 (2), 41-62. Google Scholar Citations: 1,
ISSN(print/online): 2454-7395,
URL/DOI: https://ssca.org.in/media/4_19_2_2021_SA_David_Hanagal_FINAL.pdf
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| 51) | Hanagal, D.D. (2021). Positive Stable Shared Frailty Models Based on Additive Hazards. Statistics in Biosciences,
13 (3), 431–453.
ISSN(print/online): 1867-1764/1867-1772,
URL/DOI: http://dx.doi.org/10.1007/s12561-020-09299-8
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| 52) | Jawale, J.P., Nandre, V.S., Latpate, R.V., Kulkarni, M.V., Doshi, P.J. (2021). Isolation, characterization and optimizations of laccase producer from soil: A comprehensive study of application of statistical approach to enhance laccase productivity in Myrothecium verrucaria NFCCI 4363. Bioresource Technology Reports,
15, 100751.
ISSN(print/online): 2589-014X,
URL/DOI: http://dx.doi.org/10.1016/j.biteb.2021.100751
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| 53) | Kurade, S.S., Latpate, R. (2021). Demand and deterioration of items per unit time inventory models with shortages using genetic algorithm. Journal of Management Analytics,
8 (3), 502-529. WoS Citations: 4,
ISSN(print/online): 2327-0012/2327-0039,
URL/DOI: http://dx.doi.org/10.1080/23270012.2020.1829113
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| 54) | Bhosale, M.R., Latpate, R.V. (2021). Single stage fuzzy supply chain model with Weibull distributed demand for milk commodities. Granular Computing,
6 (0), 255-266. Google Scholar Citations: 2,
ISSN(print/online): 2364-4966/2364-4974,
URL/DOI: http://dx.doi.org/10.1007/s41066-019-00186-2
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| 55) | Mandrekar, V., Naik-Nimbalkar, U. (2021). On martingale solutions of stochastic partial differential equations with Levy noise. Theory of Probability and Mathematical Statistics,
104, 89-101.
ISSN(print/online): 0094-9000/1547-7363,
URL/DOI: http://dx.doi.org/10.1090/tpms/1147
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| 56) | Jagtap, R.S., Naik-Nimbalkar, U.V. (2021). Modelling Unusual Behaviour of Rainfall Using Truncated GEV Distribution in a Mixture Framework. Asian Journal of Water, Environment and Pollution,
18 (1), 31-41.
ISSN(print/online): 0972-9860/1875-8568,
URL/DOI: http://dx.doi.org/10.3233/AJW210005
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| 57) | Awale, M., Kashikar, A.S., Ramanathan, T.V. (2020). Modeling seasonal epidemic data using integer autoregressive model based on binomial thinning. Model Assisted Statistics and Applications,
15 (1), 1-17.
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-190475
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| 58) | Badade, M., Ramanathan, T.V. (2020). Probabilistic frontier regression model for multinomial ordinal type output data. Journal of Productivity Analysis,
53 (3), 339-354. WoS Citations: 3,
ISSN(print/online): 0895-562X/1573-0441,
URL/DOI: http://dx.doi.org/10.1007/s11123-020-00581-x
|
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| 59) | Pandhare, S.C., Ramanathan, T.V. (2020). The focussed information criterion for generalised linear regression models for time series. Australian and New Zealand Journal of Statistics,
62 (4), 485-507.
ISSN(print/online): 1369-1473/1467-842X,
URL/DOI: http://dx.doi.org/10.1111/anzs.12310
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| 60) | Ramanathan, T.V., Rohan, N., Abraham, B. (2020). A stochastic frontier regression model with dynamic frontier. Communications in Statistics-Simulation and Computation,
49 (6), 1415-1428.
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2015.1011333
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| 61) | Pandhare, S.C., Ramanathan, T.V. (2020). The robust focused information criterion for strong mixing stochastic processes with $$\mathscr {L}^{2} $$ L2-differentiable parametric densities. Statistical Inference for Stochastic Processes,
23 (3), 637-663.
ISSN(print/online): 1387-0874/1572-9311,
URL/DOI: http://dx.doi.org/10.1007/s11203-020-09208-2
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| 62) | Ramanathan, T.V., Chipade, R.A. (2020). Statistical Orbit Determination Algorithm for Satellites in Indian Navigation Constellation (NavIC): Towards Extended Ephemeris Technology for NavIC Receiver. Artificial Satellites: Journal of Space Research Centre of Polish Academy of Sciences,
55 (2), 29-40.
ISSN(print/online): 0208-841X/2083-6104,
URL/DOI: http://dx.doi.org/10.2478/arsa-2020-0003
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| 63) | Gadre, M.P., Venegurkar, S.S. (2020). ‘Alternated Charting Statistic Modified Group Runs’ (ACS‐MGR) control chart for monitoring mean vectors of bivariate and trivariate processes. Quality and reliability engineering international,
36 (7), 2495-2508.
ISSN(print/online): 0748-8017/1099-1638,
URL/DOI: http://dx.doi.org/10.1002/qre.2711
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| 64) | Vaidya, S., Kasibhatla, S., Bhattad, D., Ramtirthkar, M., Kale, M., Raut, C., Kulkarni-Kale, U. (2020). Characterization of diversity of measles viruses in India: Genomic sequencing and comparative genomics studies. Journal of Infection,
80 (3), 301-309. WoS Citations: 6,
ISSN(print/online): 0163-4453/1532-2742,
URL/DOI: http://dx.doi.org/10.1016/j.jinf.2019.11.025
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| 65) | Kasibhatla, S.M., Kinikar, M., Limaye, S., Kale, M.M., Kulkarni‐Kale, U. (2020). Understanding evolution of SARS‐CoV‐2: a perspective from analysis of genetic diversity of RdRp gene. Journal of Medical Virology,
92 (10), 1932-1937. WoS Citations: 18,
ISSN(print/online): 0146-6615/1096-9071,
URL/DOI: http://dx.doi.org/10.1002/jmv.25909
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URL/DOI: http://dx.doi.org/10.4236/ajor.2013.32028
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| 200) | Yadav, A., Jayaraman, V.K., Kale, M., Kulkarni-Kale, U. (2013). Phylogenetic Clustering of Protein Sequences Using Recurrence Quantification Analysis. Advanced Science Letters,
19 (5), 1336-1339.
ISSN(print/online): 1936-6612/1936-7317,
URL/DOI: http://dx.doi.org/10.1166/asl.2013.4499
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| 201) | Parkar, S.F., Sachdev, D., Kamble, A., Suresh, G., Munot, H., Hanagal, D., Shouche, Y., Kapadnis, B. (2013). Prevalence, seasonality and antibiotic susceptibility of thermophilic Campylobacters in ceca and carcasses of poultry birds in the live-bird market. African Journal of Microbiology Research,
7 (21), 2442-2453. Google Scholar Citations: 11,
ISSN(print/online): 1996-0808,
URL/DOI: http://dx.doi.org/10.5897/AJMR2012.2323
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| 202) | Hanagal, D.D., Dabade, A.D. (2013). Modeling of inverse Gaussian frailty model for bivariate survival data. Communications in Statistics-Theory and Methods,
42 (20), 3744-3769. Google Scholar Citations: 5, WoS Citations: 11,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2011.638428
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| 203) | Hanagal, D.D., Sharma, R. (2013). Modeling Heterogeneity for Bivariate Survival Data by Shared Gamma Frailty Regression Model. Model Assisted Statistics and Applications,
8 (2), 85-102. Google Scholar Citations: 6,
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-130259
|
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| 204) | Hanagal, D.D., Dabade, A.D. (2013). Bayesian Estimation of Parameters and Comparison of Shared Gamma Frailty Models. Communications in Statistics-Simulation and Computation,
42 (4), 910-931. Google Scholar Citations: 12, WoS Citations: 9,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2012.661909
|
||
| 205) | Hanagal, D.D., Dabhade, A.D. (2013). Compound negative binomial shared frailty models for bivariate survival data. Statistics and Probability Letters,
83 (11), 2507-2515. WoS Citations: 2,
ISSN(print/online): 0167-7152/1879-7152,
URL/DOI: http://dx.doi.org/10.1016/j.spl.2013.07.005
|
||
| 206) | Hanagal, D.D., Sharma, R. (2013). Analysis of tumorigenesis data using shared inverse Gaussian frailty models via Bayesian approach. Journal of Indian Society for Probability and Statistics,
14, 76-102.
ISSN(print/online): 2364-9569.
|
||
| 207) | Hangal, D.D., Sharma, R. (2013). Analysis of diabetic retinopathy data using shared inverse Gaussian frailty model. Model Assisted Statistics and Applications,
8 (2), 103-119. Google Scholar Citations: 5,
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-130260
|
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| 208) | Hanagal, D.D., Dabade, A.D. (2013). A Comparative Study of Shared Frailty Models for Kidney Infection Data with Generalized Exponential Baseline Distribution. Journal of Data Science,
11 (1), 109-142. Google Scholar Citations: 11,
ISSN(print/online): 1680-743X/1683-8602,
URL/DOI: https://www.jds-online.com/files/JDS-1126.pdf
|
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| 209) | Khafaie, M.A., Salvi, S.S., Ojha, A., Khafaie, B., Gore, S.D., Yajnik, C.S. (2013). Systemic inflammation (c-reactive protein) in type 2 diabetic patients is associated with ambient air pollution in Pune city, India. Diabetes Care,
36 (3), 625-630. Google Scholar Citations: 29, WoS Citations: 23,
ISSN(print/online): 0149-5992/1935-5548,
URL/DOI: http://dx.doi.org/10.2337/dc12-0388
|
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| 210) | Ratnaparkhi, M.V., Naik-Nimbalkar, U.V. (2013). The Length-Biased Versus Random Sampling for the Binomial and Poisson Events. Journal of Modern Applied Statistical Methods,
12 (1), 54-57. Google Scholar Citations: 1,
ISSN(print/online): 1538-9472,
URL/DOI: http://dx.doi.org/10.22237/jmasm/1367381340
|
||
| 211) | Ratnaparkhi, M.V., Naik-Nimbalkar, U.V. (2013). A Note on α-Curvature of the Manifolds of the Length-biased Lognormal and Gamma Distributions in View of Related Applications in Data Analysis. Journal of Modern Applied Statistical Methods,
12 (1), 249-254.
ISSN(print/online): 1538-9472,
URL/DOI: http://dx.doi.org/10.22237/jmasm/1367382360
|
||
| 212) | Narayanan, P., Moulasha, K., Wheeler, T., Baer, J., Bharadwaj, S., Ramanathan, T.V., Thomas, T. (2012). Monitoring community mobilisation and organisational capacity among high-risk groups in a large-scale HIV prevention programme in India: selected findings using a Community Ownership and Preparedness Index. Journal of Epidemiology and Community Health,
66 (Suppl 2), ii34-ii41. Google Scholar Citations: 14, WoS Citations: 14,
ISSN(print/online): 0143-005X/1470-2738,
URL/DOI: http://dx.doi.org/10.1136/jech-2012-201065
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| 213) | Kaur, I., Ramanathan, T.V., Naik-Nimbalkar, U.V. (2012). Parameter estimation of a process driven by fractional Brownian motion: An estimating function approach. InterStat,
1-24. Google Scholar Citations: 2,
ISSN(print/online): 1941-689X,
URL/DOI: http://interstat.statjournals.net/YEAR/2012/articles/1212001.pdf
|
||
| 214) | Tayefi, M., Ramanathan, T.V. (2012). An overview of FIGARCH and related time series models. Austrian Journal of Statistics,
41 (3), 175-196. Google Scholar Citations: 29,
ISSN(print/online): 1026-597X,
URL/DOI: http://dx.doi.org/10.17713/ajs.v41i3.172
|
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| 215) | Rohan, N., Ramanathan, T.V. (2012). Asymmetric volatility models with structural breaks. Communications in Statistics-Simulation and Computation,
41 (9), 1519-1543. Google Scholar Citations: 9, WoS Citations: 3,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2011.611403
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| 216) | Thomas, T., Narayanan, P., Wheeler, T., Kiran, U., Joseph, M.J., Ramanathan, T.V. (2012). Design of a Community Ownership and Preparedness Index: using data to inform the capacity development of community-based groups. Journal of Epidemiology and Community Health,
66 (Suppl 2), ii26-ii34. Google Scholar Citations: 25, WoS Citations: 17,
ISSN(print/online): 0143-005X/1470-2738,
URL/DOI: http://dx.doi.org/10.1136/jech-2011-200590
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||
| 217) | Kolekar, P., Kale, M., Kulkarni-Kale, U. (2012). Alignment-free distance measure based on return time distribution for sequence analysis: Applications to clustering, molecular phylogeny and subtyping. Molecular Phylogenetics and Evolution,
65 (2), 510-522. Google Scholar Citations: 36, WoS Citations: 36,
ISSN(print/online): 1055-7903/1095-9513,
URL/DOI: http://dx.doi.org/10.1016/j.ympev.2012.07.003
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| 218) | Kashikar, A.S., Deshmukh, S.R. (2012). Second Order Branching Process with Continuous State Space. Statistics and Probability Letters,
82 (11), 1930-1934. Google Scholar Citations: 4, WoS Citations: 4,
ISSN(print/online): 0167-7152/1879-7152,
URL/DOI: http://dx.doi.org/10.1016/j.spl.2012.06.009
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| 219) | Hanagal, D.D., Dabade, A.D. (2012). Modeling Heterogeneity in Bivariate Survival Data by Compound Poisson Distribution using Bayesian Approach. International Journal of Statistics and Management Systems,
7 (1-2), 36-84. Google Scholar Citations: 1,
ISSN(print/online): 0973-7359,
URL/DOI: https://pdfs.semanticscholar.org/2a2f/72e2dbe40dc4d29fb49622931f07133bd6c1.pdf
|
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| 220) | Hanagal, D.D., Kanade, R.A. (2012). Optimal replacement policy based on number of down times of the first component. Journal of Indian Society for Probability and Statistics,
13, 54-64.
ISSN(print/online): 2364-9569.
|
||
| 221) | Hanagal, D.D., Sharma, R. (2012). Analysis of tumorigenesis data using shared gamma frailty models via Bayesian approach. International Journal of Statistics and Management Systems,
7, 105-135.
ISSN(print/online): 0973-7359,
URL/DOI: https://pdfs.semanticscholar.org/104e/70656dac363f7c2129df0218a14fd71b3106.pdf
|
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| 222) | Hanagal, D.D., Sharma, R. (2012). A bivariate Gompertz regression model with shared gamma frailty for censored data. Model Assisted Statistics and Applications,
7 (3), 161-168. Google Scholar Citations: 1,
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-2011-0220
|
||
| 223) | Hanagal, D.D., Sharma, R. (2012). Bayesian estimation of parameters for the bivariate Gompertz regression model with shared gamma frailty under random censoring. Statistics and Probability Letters,
82 (7), 1310-1317. Google Scholar Citations: 4, WoS Citations: 1,
ISSN(print/online): 0167-7152/1879-7152,
URL/DOI: http://dx.doi.org/10.1016/j.spl.2012.03.028
|
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| 224) | Kaur, I., Rajarshi, M.B. (2012). Ridge Regression for Estimation of Transition Probabilities from Aggregate Data. Communications in Statistics-Simulation and Computation,
41 (4), 524-530. Google Scholar Citations: 2, WoS Citations: 3,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2011.595866
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| 225) | Malekzadeh, P., Gore, S.D. (2012). A Stochastic Approach to General Nonlinear Programming Problems. Communications in Statistics-Simulation and Computation,
41 (10), 1989-1997. Google Scholar Citations: 2, WoS Citations: 2,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2011.628767
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| 226) | Tayefi, M., Gore, S.D. (2012). A new alignment method of clustering time series data. Journal of Statistics Science,
4 (1), 1-11.
ISSN(print/online): 0975-1661.
|
||
| 227) | Gurao, R., Gore, S.D. (2012). Estimating population maximum using different sampling designs. Journal of Statistics Science,
4 (2), 65-78.
ISSN(print/online): 0975-1661.
|
||
| 228) | Ratnaparakhi, M.V., Naik-Nimbalkar, U.V. (2012). The Length-biased Lognormal Distribution and its Application in the Analysis of Data from the Oil Field Exploration Studie. Journal of Modern Applied Statistical Methods,
11 (1), 255-260. Google Scholar Citations: 7,
ISSN(print/online): 1538-9472,
URL/DOI: Http://dx.doi.org/10.22237/jmasm/1335846060
|
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| 229) | Rohan, N., Ramanathan, T.V. (2011). Order Selection in Arma Models Using The Focused Information Criterion. Australian and New Zealand Journal of Statistics,
53 (2), 217-231. Google Scholar Citations: 13, WoS Citations: 10,
ISSN(print/online): 1369-1473/1467-842X,
URL/DOI: http://dx.doi.org/10.1111/j.1467-842X.2011.00626.x
|
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| 230) | Rajarshi, M.B., Ramanathan, T.V., Ghadge, C.A. (2011). Rank based tests for testing the constancy of the regression coefficients against random walk alternatives. Operations Research and Decisions,
21 (3-4), 35-55. Google Scholar Citations: 1,
ISSN(print/online): 2081-8858/2391-6060,
URL/DOI: http://dx.doi.org/10.5277/ord1203-0403
|
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| 231) | Gadre, M.P., Dixit, P.G. (2011). A multivariate modified group runs control chart for process dispersion. Indian Association of Productivity Quality and Reliability Transactions,
36 (1), 1-26.
ISSN(print/online): 0970-0102.
|
||
| 232) | Gedam, V.K., Khamborkar, A.K., Khot, P.G. (2011). On queueing Network: A heterogeneous Markovian queueing Model (M/M/c1)(∞/FIFO):(M/M/1)(∞/FIFO). Vidarbha Journal of Science,
6, 53-55.
ISSN(print/online): 0973-8932.
|
||
| 233) | Kolekar, P.S., Kale, M.M., Kulkarni-Kale, U. (2011). Genotyping of Mumps Viruses Based on the SH gene: Development of a Server using Alignment-free and alignment based methods. Immunome Research,
7 (3), 1-7. Google Scholar Citations: 11,
ISSN(print/online): 1745-7580,
URL/DOI: https://www.longdom.org/archive/imr-volume-7-issue-3-year-2011.html
|
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| 234) | Hangal, D.D., Kanade, R.A. (2011). Optimal geometric process replacement policies based on number of down times. International Journal of Reliability, Quality and Safety Engineering,
18 (6), 495-513.
ISSN(print/online): 0218-5393/1793-6446,
URL/DOI: http://dx.doi.org/10.1142/S0218539311004214
|
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| 235) | Hanagal, D.D., Kanade, R.A. (2011). Optimal replacement policies based on number of down times for cold standby system when the lifetime and the repair time are dependent. Journal of Reliability and Statistical Studies,
4 (1), 42-52. Google Scholar Citations: 6,
ISSN(print/online): 0974-8024/2229-5666,
URL/DOI: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.301.4856&rep=rep1&type=pdf
|
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| 236) | Hanagal, D.D., Samajdwar, J.C. (2011). Quality loss index for non-symmetric distributions. International Journal of Reliability and Quality Performance,
3 (2), 159-173.
ISSN(print/online): 0975-2102.
|
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| 237) | Hanagal, D.D., Samajdwar, J. (2011). Quality loss index QLI and its properties. Stochastics and Quality Control,
26 (1), 63-72. Google Scholar Citations: 1,
ISSN(print/online): 2367-2390/2367-2404,
URL/DOI: http://dx.doi.org/10.1515/eqc.2011.006
|
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| 238) | Hanagal, D.D., Samajdwar, J.C. (2011). Quality loss index with one sided specification limit. International Journal of Reliability and Quality Performance,
3 (2), 175-190.
ISSN(print/online): 0975-2102.
|
||
| 239) | Hanagal, D.D., Ahmedi, K.A. (2011). Bivariate linear failure rate distribution. International Journal of Statistics and Management Systems,
6 (1-2), 73-84.
ISSN(print/online): 0973-7359.
|
||
| 240) | Latpate, R.V., Bajaj, V.H. (2011). Fuzzy Programming for Multi-objective Transportation and Inventory Management Problem with Retailer Storage. International Journal of Agricultural and Statistical Sciences,
7 (1), 317-326. WoS Citations: 2,
ISSN(print/online): 0973-1903/0976-3392.
|
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| 241) | Rajarshi, M.B., Ramanathan, T.V., Ghadge, C.A. (2011). A class of rank tests for testing the constancy of regression coefficients against random walk alternatives. Operations Research and Decisions,
21 (3-4), 35-55.
ISSN(print/online): 2081-8858/2391-6060.
|
||
| 242) | Ashoor, A.S., Gore, S.D. (2011). Intrusion Detection System (IDS) &Intrusion Prevention System (IPS): Case Study. International Journal of Scientific and Engineering Research,
2 (7), 1-3.
ISSN(print/online): 2229-5518,
URL/DOI: http://www.ijser.org/researchpaper%5CIntrusion_Detection_System_Intrusion_Prevention_System_Case_Study.pdf
|
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| 243) | Ashoor, A.S., Gore, S.D. (2011). Importance of Intrusion Detection System (IDS). International Journal of Scientific and Engineering Research,
2 (1), 1-4. Google Scholar Citations: 71,
ISSN(print/online): 2229-5518,
URL/DOI: http://www.ijser.org/researchpaper%5CImportance_of_Intrusion_Detection_System.pdf
|
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| 244) | Sarkar, J., Datre, S., Thorat, G., Gore, S.D., Tyagi, A. (2011). Assessing Drought Scenario over India during Monsoon 2009-An Approach Based on Standardized Precipitation Index. Asian Journal of Water, Environment and Pollution,
8 (4), 47-59. Google Scholar Citations: 1,
ISSN(print/online): 0972-9860/1875-8568,
URL/DOI: https://content.iospress.com/articles/asian-journal-of-water-environment-and-pollution/ajw8-4-07
|
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| 245) | Malekzadeh, P., Gore, S.D. (2011). A simulation alternative to simplex algorithm. Pakistan Journal of Statistics,
27 (1), 65-74. Google Scholar Citations: 2, WoS Citations: 1,
ISSN(print/online): 1012-9367/2310-3515,
URL/DOI: http://web.a.ebscohost.com/ehost/detail/detail?sid=ff314805-d1ef-46fd-850f-31edef7d3f30%40sessionmgr4001&vid=0&hid=4114&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d&preview=false#AN=60447369&db=aph
|
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| 246) | Gavanji, P., Salehi, M., Gore, S.D., Khademi, H., Ayoubi, S., Taghipour, M. (2011). Use of post-stratification in composite sampling for estimating mean. Environmental and Ecological Statistics,
18 (3), 535-542. Google Scholar Citations: 2, WoS Citations: 2,
ISSN(print/online): 1352-8505/1573-3009,
URL/DOI: http://dx.doi.org/10.1007/s10651-010-0150-z
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| 247) | Ashoor, A.S., Gore, S.D. (2011). What is the difference between Hackers and Intruders. International Journal of Scientific and Engineering Research,
2 (7), 1-3. Google Scholar Citations: 2,
ISSN(print/online): 2229-5518,
URL/DOI: http://www.ijser.org/researchpaper/What_is_the_difference_between_Hackers_and_Intruders.pdf
|
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| 248) | Abegaz, F., Naik-Nimbalkar, U.V. (2011). Semiparametric score test for varying copula parameter in Markov time series. Statistics,
45 (3), 209-222.
ISSN(print/online): 0233-1888/1029-4910,
URL/DOI: http://dx.doi.org/10.1080/02331880903445113
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| 249) | Gore, A.P., Paranjpe, S.A., Joshi, C., Pramod, P., Daniels, R.J.R., Earth, C., Gerow, K. (2011). Adaptive Sampling Strategy for Assessment of Avian Diversity. International Journal of Statistical Sciences,
11 (S), 75-89.
ISSN(print/online): 1683-5603,
URL/DOI: https://csa.ru.ac.bd/stat-ijss/journals/v-11s-iss-05-pdf/
|
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Publications Before 2011 |
|||
| 250) | Ghadge, C., Ramanathan, T.V. (2010). Rank Test for Testing Randomness of the Technology Parameters in a Stochastic Frontier Regression Model. Communications in Statistics-Simulation and Computation,
40 (1), 99-112.
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2010.531364
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| 251) | Ramanathan, T.V., Ghadge, C. (2010). Tests for randomness of the technology parameter in a stochastic frontier regression model. Statistical Methods and Applications,
19 (3), 319-331. Google Scholar Citations: 1, WoS Citations: 1,
ISSN(print/online): 1618-2510/1613-981X,
URL/DOI: http://dx.doi.org/10.1007/s10260-009-0129-9
|
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| 252) | Gadre, M.P., Joshi, K.A., Rattihalli, R.N. (2010). A side sensitive modified group runs control chart to detect shifts in the process mean. Journal of Applied Statistics,
37 (12), 2073-2087. Google Scholar Citations: 11, WoS Citations: 9,
ISSN(print/online): 0266-4763/1360-0532,
URL/DOI: http://dx.doi.org/10.1080/02664760903222190
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| 253) | Hangal, D.D., Kanade, R.A. (2010). Optimal Replacement Policy Based on the Number of Down Times. Economic Quality Control,
25 (1), 3-12. Google Scholar Citations: 3,
ISSN(print/online): 0940-5151/1869-6147,
URL/DOI: http://dx.doi.org/10.1515/eqc.2010.001
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| 254) | Hangal, D.D., Kanade, R.A. (2010). Optimal Replacement Policy Based on the Number of Down Times with Priority in Use. Economic Quality Control,
25 (2), 243-251. Google Scholar Citations: 2,
ISSN(print/online): 0940-5151/1869-6147,
URL/DOI: http://dx.doi.org/10.1515/eqc.2010.017
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| 255) | Hangal, D.D. (2010). Modeling heterogeneity for bivariate survival data by the compound poisson distribution. Model Assisted Statistics and Applications,
5 (1), 1-9. Google Scholar Citations: 7, WoS Citations: 6,
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-2010-0117
|
||
| 256) | Hangal, D.D. (2010). Modeling heterogeneity for bivariate survival data by the compound Poisson distribution with random scale. Statistics and Probability Letters,
80 (23), 1781-1790. Google Scholar Citations: 10, WoS Citations: 6,
ISSN(print/online): 0167-7152/1879-7152,
URL/DOI: http://dx.doi.org/10.1016/j.spl.2010.08.002
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| 257) | Hangal, D.D. (2010). Modeling heterogeneity for bivariate survival data by the Weibull distribution. Statistical Papers,
51 (4), 947-958. Google Scholar Citations: 4, WoS Citations: 5,
ISSN(print/online): 0932-5026/1613-9798,
URL/DOI: http://dx.doi.org/10.1007/s00362-008-0188-2
|
||
| 258) | Hanagal, D.D., Mandrekar, V. (2010). Generalized Loss of Memory Property and a Multivariate Extension. Economic Quality Control,
24 (1), 43-54.
ISSN(print/online): 0940-5151/1869-6147,
URL/DOI: http://dx.doi.org/10.1515/EQC.2009.43
|
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| 259) | Hanagal, D.D. (2010). Correlated compound Poisson frailty model for the bivariate survival data. International Journal of Statistics and Management Systems,
5, 127-140. Google Scholar Citations: 4,
ISSN(print/online): 0973-7359.
|
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| 260) | Rattihalli, S.R., Hanagal, D.D. (2010). A Replacement Policy Based on Down Time for a Cold Standby System with Dependent Lifetime and Repairtime. Economic Quality Control,
24 (2), 207-212. Google Scholar Citations: 2,
ISSN(print/online): 0940-5151/1869-6147,
URL/DOI: http://dx.doi.org/10.1515/EQC.2009.207
|
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| 261) | Deshpande, J.V., Dewan, I., Naik-Nimbalkar, U.V. (2010). A family of distributions to model load sharing systems. Journal of Statistical Planning and Inference,
140 (6), 1441-1451. Google Scholar Citations: 33, WoS Citations: 35,
ISSN(print/online): 0378-3758/1873-1171,
URL/DOI: http://dx.doi.org/10.1016/j.jspi.2009.12.005
|
||
| 262) | Kanade, R.A., Rajarshi, M.B. (2010). Outbreak of strain of influenza A (H1N1) in Pune during July-October 2009. Calcutta Statistical Association Bulletin,
62 (3-4), 299-308. Google Scholar Citations: 3,
ISSN(print/online): 0008-0683/2456-6462,
URL/DOI: http://dx.doi.org/10.1177/0008068320100310
|
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| 263) | Abegaz, F., Naik-Nimbalkar, U.V. (2010). Modeling foreign exchange rates using copula-based autoregressive conditional duration models. Journal of Applied Statistical Science,
17 (3), 447-456. Google Scholar Citations: 1,
ISSN(print/online): 1067-5817.
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| 264) | Jadhav, D., Ramanathan, T.V. (2009). Parametric and Nonparametric estimation of Value-at-Risk. Journal of Risk Model Validation,
3 (1), 51-71. Google Scholar Citations: 20, WoS Citations: 7,
ISSN(print/online): 1753-9579/1753-9587.
|
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| 265) | Alheety, M.I., Ramanathan, T.V., Gore, S.D. (2009). On the distribution of shrinkage parameters of Liu-Type Estimators. Brazilian Journal of Probability and Statistics,
23 (1), 57-67. Google Scholar Citations: 7, WoS Citations: 5,
ISSN(print/online): 0103-0752,
URL/DOI: http://dx.doi.org/10.1214/08-BJPS005
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| 266) | Alheety, M.I., Ramanathan, T.V. (2009). Confidence Interval for shrinkage parameters in ridge regression. Communications in Statistics-Theory and Methods,
38 (19), 3489-3497. Google Scholar Citations: 5, WoS Citations: 2,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610920802585856
|
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| 267) | Rattihalli, R.N., Gadre, M.P. (2009). Count of Runs of Length Two in Binary Sequences. Indian Association of Productivity Quality and Reliability Transactions,
34 (2), 181-186.
ISSN(print/online): 0970-0102.
|
||
| 268) | Gedam, V.K., Khamborkar, A.K. (2009). Comparison Shear Bond Strength of Different Adhesive Systems Using Weibull Analysis. Vidarbha Journal of Science,
4 (1), 32-37.
ISSN(print/online): 0973-8932.
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