Department Details

Department of Statistics

1)    Thorat, P.S., Kumbhar, D.D., Oval, R.D., Kumar, S., Awale, M., Ramanathan, T.V., Khot, A.C., Kim, T.G., Dongale, T.D., Sutar, S.S. (2024). On the time series analysis of resistive switching devices. Microelectronic Engineering, 297 (112306), 1-13. ISSN(print/online): 0167-9317/1873-5568, URL/DOI: http://dx.doi.org/10.1016/j.mee.2024.112306
2)    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
3)    Ramtirthkar, M., Kale, M. (2024). Non-parametric Estimation of the Offspring Covariance Matrix in a Bisexual Branching Process with Immigration of Females and Males. Journal of Indian Society for Probability and Statistics, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-024-00225-5
4)    Limaye, S., Lohar, T., Dube, H., Ramasamy, S., Kale, M., Kulkarni-Kale, U., Kuchipudi, S.V., (2024). Rapid evolution leads to extensive genetic diversification of cattle flu Influenza D virus. Communications Biology, 7, 1276. ISSN(print/online): 2399-3642, URL/DOI: http://dx.doi.org/10.1038/s42003-024-06954-4
5)    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
6)    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
7)    Hanagal, D. D. (2024). Analysis of Kidney Infection Data Using Correlated Compound Geometric Frailty Models. American Journal of Operations Research, ISSN(print/online): 2160-8830/2160-8849, URL/DOI: http://dx.doi.org/10.1080/01966324.2024.2439811
8)    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
9)    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
10)    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
11)    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
12)    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
13)    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
14)    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
15)    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
16)    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
17)    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
18)    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
19)    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
20)    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
21)    Dhamale, P.S., Kashikar, A.S. (2023). Outlier detection in cylindrical data based on Mahalanobis distance. Communications in Statistics-Simulation and Computation, 54 (2), 331-341. Google Scholar Citations: 1, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2023.2252630
22)    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
23)    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
24)    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
25)    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/
26)    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
27)    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
28)    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
29)    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
30)    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
31)    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
32)    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
34)    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
35)    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
36)    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
37)    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
38)    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
39)    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
40)    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
41)    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
42)    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
43)    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
44)    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
45)    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
46)    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
47)    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
48)    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
49)    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
50)    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
51)    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
52)    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
53)    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
54)    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
55)    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
56)    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
57)    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
58)    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
59)    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
60)    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
61)    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
62)    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
63)    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
64)    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
65)    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
66)    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
67)    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
68)    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
69)    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
70)    Gaikwad, S.K., Kadam, A.R., Ramgir, R.R., Kashikar, A.S., Wagh, V.M., Kandekar, A.M., Gaikwad, S.P., Madale, R.B., Pawar, N.J., Kamble, K.D. (2020). Assessment of the groundwater geochemistry from a part of west coast of India using statistical methods and water quality index. HydroResearch, 3 (0), 48-60. ISSN(print/online): 2589-7578, URL/DOI: http://dx.doi.org/10.1016/j.hydres.2020.04.001
71)    Hanagal, D.D., Pandey, A. (2020). Correlated inverse Gaussian frailty models for bivariate survival data. Communications in Statistics-Theory and Methods, 49 (4), 845-863. WoS Citations: 6, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2018.1549256
72)    Hanagal, D.D. (2020). Analysis of Kidney infection Data Using Correlated Inverse Gaussian Frailty Model. Statistics and Applications, 18 (1), 1-19. ISSN(print/online): 2454-7395, URL/DOI: https://ssca.org.in/media/SA_Vol._18_No._1_2020_July_Complete_suD8GbU.pdf
73)    Pandey, A., Hanagal, D.D., Gupta, P., Tyagi, S. (2020). Analysis of Australian Twin Data Using Generalized Inverse Gaussian Shared Frailty Models Based on Reversed Hazard Rate. International Journal of Statistics and Reliability Engineering, 7 (2), 219-235. Google Scholar Citations: 3, ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/analysis-of-australian-twin-data-using-generalized-inverse-gaussian-shared-frailty-models-based-on-reversed-hazard-rate
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220)    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
221)    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
222)    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
223)    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.
224)    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
225)    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
226)    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
227)    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
228)    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
229)    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
230)    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.
231)    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.
232)    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
233)    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
234)    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
235)    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.
236)    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.
237)    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
238)    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.
239)    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
240)    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
241)    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.
242)    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
243)    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.
244)    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.
245)    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.
246)    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
247)    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
248)    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
249)    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
250)    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
251)    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
252)    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
253)    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/
  

Publications Before 2011


254)    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
255)    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
256)    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
257)    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
258)    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
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.
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
261)    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
262)    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
263)    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
264)    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
265)    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
266)    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
267)    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.
268)    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.
269)    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
270)    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
271)    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.
272)    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.
273)    Hangal, D.D. (2009). Modeling heterogeneity for bivariate survival data by power variance function distribution. Journal of Reliability and Statistical Studies, 2 (1), 14-27. Google Scholar Citations: 5, ISSN(print/online): 0974-8024/2229-5666, URL/DOI: https://pdfs.semanticscholar.org/f8d6/e58a5b5a045f15dd86a6cfb7bd286e20c063.pdf
274)    Hangal, D.D. (2009). Inference in the multivariate exponential models. Journal of Reliability and Statistical Studies, 2 (2), 1-10. ISSN(print/online): 0974-8024/2229-5666, URL/DOI: https://pdfs.semanticscholar.org/1f24/3949b4915b2a136d6824bf2269bb8cb6a839.pdf
275)    Hanagal, D.D., Ahmadi, K.A. (2009). Bayesian estimation of parameters in bivariate exponential regression models. Journal of Statistical Theory and Application, 8 (4), 428-447. ISSN(print/online): 1538-7887.
276)    Hanagal, D.D., Ahmadi, K.A. (2009). Bayesian Estimation of the Parameters of Bivariate Exponential Distributions. Communications in Statistics-Simulation and Computation, 38 (7), 1391-1413. Google Scholar Citations: 7, WoS Citations: 6, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610910902940143
278)    Kavei, M., Gore, S.D., Pawar, N.J., Kavei, M. (2009). The b value estimation by the moment method for Earthquakes of Hormozgan province, Southern Iran. Journal of the Earth, 4 (2), 13-19. ISSN(print/online): 2008-1499, URL/DOI: http://www.sid.ir/EN/VEWSSID/J_pdf/1018120090202.pdf
279)    Batah, F.S.M., Gore, S.D. (2009). Ridge regression estimator: combining unbiased and ordinary ridge regression methods of estimation. Surveys in Mathematics and its Applications, 4, 99-109. Google Scholar Citations: 7, ISSN(print/online): 1843-7265/1842-6298, URL/DOI: http://www.emis.ams.org/journals/SMA/v04/p08.pdf
280)    Rafiei, M., Gadgil, A.S., Ghole, V.S., Gore, S.D., Jaafarzadeh, N., Mirkazemi, R. (2009). Assessment of air pollution and its effects on the health status of the workers in beam rolling mills factory (Iran National Steel Industrial Group) from Ahvaz-Iran. Indian Journal of Occupational and Environmental Medicine, 13 (1), 20-22. Google Scholar Citations: 11, ISSN(print/online): 0973-2284/1998-3670, URL/DOI: http://dx.doi.org/10.4103/0019-5278.50719
281)    Jadhav, D., Ramanathan, T.V., Naik-Nimbalkar, U.V. (2009). Modified estimators of the Expected Shortfall. Journal of Emerging Market Finance, 8 (2), 87-107. Google Scholar Citations: 7, ISSN(print/online): 0972-6527/0973-0710, URL/DOI: http://dx.doi.org/10.1177/097265270900800201
282)    Mandrekar, V., Naik-Nimbalkar, U.V. (2009). Identification of a Markovian system with observations corrupted by a fractional Brownian motion. Statistics and Probability Letters, 79 (7), 965-968. Google Scholar Citations: 1, WoS Citations: 1, ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2008.11.023
283)    Abegaz, F., Naik-Nimbalkar, U.V. (2009). Score Test for Varying Copula Parameter in Bivariate Financial Time Series. Journal of Applied Statistical Science, 17 (3), 457-469. ISSN(print/online): 1067-5817.
284)    Prasher, B., Negi, S., Aggarwal, S., Mandal, A.K., Sethi, T.P., Deshmukh, S.R., Purohit, S.G., Sengupta, S., Khanna, S., Mohammad, F., Garg, G. (2008). Whole genome expression and biochemical correlates of extreme constitutional types defined in Ayurveda. Journal of Translational Medicine, 6 (1), 48. Google Scholar Citations: 135, WoS Citations: 81, ISSN(print/online): 1479-5876, URL/DOI: http://dx.doi.org/10.1186/1479-5876-6-48
285)    Teke, S.P., Deshmukh, S.R. (2008). Inverse Thinning of Cox and Renewal Processes. Statistics and Probability Letters, 78 (16), 2705-2708. Google Scholar Citations: 3, WoS Citations: 1, ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2008.03.011
286)    Gadre, M.P., Rattihalli, R.N. (2008). Multi-attribute unit and group runs control chart to identify the process deterioration. Journal of Statistical Computation and Simulation, 78 (11), 999-1008. Google Scholar Citations: 4, WoS Citations: 2, ISSN(print/online): 0094-9655/1563-5163, URL/DOI: http://dx.doi.org/10.1080/00949650701323657
287)    Ahmadi, K.A., Hanagal, D.D. (2008). Bayesian hypothesis tests for some bivariate exponential distributions. Model Assisted Statistics and Applications, 3 (3), 269-278. ISSN(print/online): 1574-1699/1875-9068.
288)    Hanagal, D.D., Ahmadi, K.A. (2008). Bayesian estimation of parameters in some bivariate exponential models. Advances and Applications in Statistics, 10 (2), 179-193. ISSN(print/online): 0972-3617.
289)    Hanagal, D.D. (2008). Modelling heterogeneity for bivariate survival data by the lognormal distribution. Statistics and Probability Letters, 78 (9), 1101-1109. Google Scholar Citations: 7, WoS Citations: 4, ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2007.11.004
290)    Hangal, D.D. (2008). Frailty regression models in mixture distributions. Journal of Statistical Planning and Inference, 138 (8), 2462-2468. Google Scholar Citations: 8, WoS Citations: 6, ISSN(print/online): 0378-3758/1873-1171, URL/DOI: http://dx.doi.org/10.1016/j.jspi.2007.10.014
291)    Hanagal, D.D., Ahmadi, K.A. (2008). Parameter Estimation for the Bivariate Exponential Distribution by the EM Algorithm Based on Censored Samples. Economic Quality Control, 23 (2), 257-266. Google Scholar Citations: 5, ISSN(print/online): 0940-5151/1869-6147, URL/DOI: http://dx.doi.org/10.1515/EQC.2008.257
292)    Lam, K.F., Deshpande, J.V., Lau, E.H.Y., Naik‐Nimbalkar, U.V., Yip, P.S.F., Xu, Y. (2008). A Test for Constant Fatality Rate of an Emerging Epidemic: With Applications to Severe Acute Respiratory Syndrome in Hong Kong and Beijing. Biometrics, 64 (3), 869-876. Google Scholar Citations: 6, WoS Citations: 5, ISSN(print/online): 0006-341X/1541-0420, URL/DOI: http://dx.doi.org/10.1111/j.1541-0420.2007.00935.x
293)    Alheety, M.I., Gore, S.D. (2008). A new estimator in multiple linear regression. Model Assisted Statistics and Applications, 3 (3), 187-200. Google Scholar Citations: 8, ISSN(print/online): 1574-1699/1875-9068.
294)    Kavei, M., Gore, S.D., Pawar, N.J., Ahmadi, K., Malekzadeh, P. (2008). An attenuation equation based on hormozgan province (southern iran) strong motion data. Journal of the Earth, 3 (3), 1-14. ISSN(print/online): 2008-1499, URL/DOI: http://www.sid.ir/en/VEWSSID/J_pdf/1018120080301.pdf
295)    Batah, F., Gore, S. (2008). Improving precision for Jackknifed ridge type estimation. Far East Journal of Theoretical Statistics, 24 (2), 157-174. Google Scholar Citations: 5, ISSN(print/online): 0972-0863.
296)    Mahmood Batah, F.S., Gore, S.D., Verma, M.R. (2008). Effect of Jackknifing on various ridge type estimators. Model Assisted Statistics and Applications, 3 (3), 201-210. Google Scholar Citations: 6, ISSN(print/online): 1574-1699/1875-9068.
297)    Gore, S.D. (2008). Sampling for Natural Resource Monitoring. Journal of the American Statistical Association, 103 (482), 889-890. ISSN(print/online): 0162-1459/1537-274X, URL/DOI: http://dx.doi.org/10.1198/jasa.2008.s240
298)    Batah, F.S.M., Ramanathan, T.V., Gore, S.D. (2008). The efficiency of modified jackknife and ridge type regression estimators: a Comparison. Surveys in Mathematics and its Applications, 24 (2), 157-174. Google Scholar Citations: 31, ISSN(print/online): 1843-7265/1842-6298, URL/DOI: http://www.emis.ams.org/journals/SMA/v03/p06.pdf
299)    Gore, S.D., Kavei, M., Pawar, N.J., Ahmadi, K. (2008). Time series modeling of earthquake-magnitude and determing safety places in Bandarabbas zone, Southern Iran. International Journal of Physics, 1 (1-2), 93-107. ISSN(print/online): 2333-4568 /2333-4576.
300)    Abegaz, F., Naik-Nimbalkar, U.V. (2008). Modeling Statistical Dependence of Markov Chains via Copula Models. Journal of Statistical Planning and Inference, 138 (4), 1131-1146. Google Scholar Citations: 49, WoS Citations: 16, ISSN(print/online): 0378-3758/1873-1171, URL/DOI: http://dx.doi.org/10.1016/j.jspi.2007.04.028
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