Department Details
Department of Statistics
| 1) | 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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| 2) | Nunkoo, H.B.S., Gonpot, P.N., Ramanathan, T.V. (2021). Autoregressive conditional duration models for high frequency financial data: an empirical study on mid cap exchange traded funds. Studies in Economics and Finance,
ISSN(print/online): 1086-7376,
URL/DOI: http://dx.doi.org/10.1108/SEF-04-2021-0146
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| 3) | 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): NS/1338-0540,
URL/DOI: http://dx.doi.org/10.31577/congeo.2021.51.1.2
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| 4) | Awale, M., Kashikar, A.S., Ramanathan T.V. (2021). Forecasting overdispersed INAR(1) count time series with negative binomial marginal. Communications in Statistics-Simulation and Computation,
1-21.
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2021.1908559
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| 5) | 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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| 6) | Gadre, M. P., Venegurkar, S. S. (2021). Improved Alternated Charting Statistic Multi-Attribute Control Chart to Identify Process Deterioration. International Journal of Reliability, Quality and Safety Engineering,
28 (4), 2150023.
ISSN(print/online): 0218-5393/1793-6446,
URL/DOI: http://dx.doi.org/10.1142/S0218539321500236
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| 7) | 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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| 8) | 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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| 9) | Ramtirthkar, M., Kale, M. (2021). 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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| 10) | Ramtirthkar, M., Kale, M. (2021). Multiplicative controlled branching process with immigration. Communications in Statistics-Theory and Methods,
1-35.
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2021.1887237
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| 11) | 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.
ISSN(print/online): 1477-5956,
URL/DOI: http://dx.doi.org/10.1186/s12953-021-00173-z
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| 12) | Hanagal, D.D. (2021). Positive Stable Shared Frailty Models Based on Additive Hazards. Statistics in Biosciences,
1-23.
ISSN(print/online): 1867-1764/1867-1772,
URL/DOI: http://dx.doi.org/10.1007/s12561-020-09299-8
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| 13) | Hanagal, D.D. (2021). Correlated Positive Stable Frailty Models Based on Reversed Hazard Rate. Statistics in Biosciences,
1-24.
ISSN(print/online): 1867-1764/1867-1772,
URL/DOI: http://dx.doi.org/10.1007/s12561-021-09313-7
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| 14) | 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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| 15) | 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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| 16) | 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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| 17) | 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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| 18) | 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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| 19) | 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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| 20) | Badade, M., Ramanathan, T.V. (2020). Probabilistic frontier regression model for multinomial ordinal type output data. Journal of Productivity Analysis,
53 (3), 339-354.
ISSN(print/online): 0895-562X/1573-0441,
URL/DOI: http://dx.doi.org/10.1007/s11123-020-00581-x
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| 21) | 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): 2083-6104,
URL/DOI: http://dx.doi.org/10.2478/arsa-2020-0003
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| 22) | 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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| 23) | 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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| 24) | 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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| 25) | 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.
ISSN(print/online): 0163-4453/1532-2742,
URL/DOI: http://dx.doi.org/10.1016/j.jinf.2019.11.025
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| 26) | 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.
ISSN(print/online): 0146-6615/1096-9071,
URL/DOI: http://dx.doi.org/10.1002/jmv.25909
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| 27) | 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
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| 28) | 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.
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2018.1549256
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| 29) | Hanagal, D. (2020). Correlated positive stable frailty models. Communications in Statistics-Theory and Methods,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2020.1736305
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| 30) | 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): 2452-7395,
URL/DOI: https://www.ssca.org.in/media/1_vol._18_No._1_2020_SA_Hanagal.pdf
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| 31) | Latpate, R.V., Bhosale, M.R. (2020). Single cycle supply chain coordination model for fuzzy stochastic demand of perishable items. Iranian Journal of Fuzzy Systems,
17 (2), 39-48.
ISSN(print/online): 1735-0654,
URL/DOI: http://dx.doi.org/10.22111/ijfs.2020.5218
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| 32) | Latpate, R.V., Thorve, B.K. (2020). Replacement Policy for Cold Standby Repairable System with Priority in Use by Using Arithmetico-Geometric Process. International Journal of Reliability, Quality and Safety Engineering,
27 (3), 2050009.
ISSN(print/online): 0218-5393/1793-6446,
URL/DOI: http://dx.doi.org/10.1142/S0218539320500096
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| 33) | Kurade, S.S., Latpate, R. (2020). Demand and deterioration of items per unit time inventory models with shortages using genetic algorithm. Journal of Management Analytics,
8 (3), 502-529.
ISSN(print/online): 2327-0012/2327-0039,
URL/DOI: http://dx.doi.org/10.1080/23270012.2020.1829113
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| 34) | Latpate, R.V., Kshirsagar, J.K. (2020). Two-Stage Negative Adaptive Cluster Sampling. Communications in Mathematics and Statistics,
8 (1), 1-21. Google Scholar Citations: 4, WoS Citations: 2,
ISSN(print/online): 2194-6701/2194-671X,
URL/DOI: http://dx.doi.org/10.1007/s40304-018-0151-z
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| 35) | Latpate, R.V., Kshirsagar, J.K. (2020). Two Stage Inverse Adaptive Cluster Sampling With Stopping Rule Depends upon the Size of Cluster. Sankhya B: The Indian Journal of Statistics,
82 (1), 70-83.
ISSN(print/online): 0976-8386/0976-8394,
URL/DOI: http://dx.doi.org/10.1007/s13571-018-0177-y
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| 36) | Kulkarni, M.G., Rajarshi, M.B. (2020). Estimation of parameters of component lifetime distribution in a coherent system. Statistical Papers,
61 (1), 403-421.
ISSN(print/online): 0932-5026/1613-9798,
URL/DOI: http://dx.doi.org/10.1007/s00362-017-0945-1
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| 37) | Mandrekar, V., Naik-Nimbalkar, U.V (2020). Weak uniqueness of martingale solutions to stochastic partial differential equations in Hilbert. Theory of Stochastic Processes,
25 (1), 78-89.
ISSN(print/online): 0321-3900,
URL/DOI: http://tsp.imath.kiev.ua/files/2510/art2510_04.pdf
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| 38) | Badade, M., Ramanathan, T.V. (2019). Probabilistic frontier regression models for binary type output data. Journal of Applied Statistics,
46 (13), 2460-2480.
ISSN(print/online): 0266-4763/1360-0532,
URL/DOI: http://dx.doi.org/10.1080/02664763.2019.1597838
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| 39) | Jadhav, D., Ramanathan (2019). Portfolio optimization based on modified expected shortfall. Studies in Economics and Finance,
36 (3), 440-463.
ISSN(print/online): 1086-7376,
URL/DOI: http://dx.doi.org/10.1108/SEF-05-2018-0160
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| 40) | Ng Cheong Vee, D., Gonpot, P., Ramanathan, T.V. (2019). Quantification of operational risk: Statistical insights on coherent risk measures. Journal of Operational Risk,
14 (2), 39-59.
ISSN(print/online): 1744-6740/1755-2710,
URL/DOI: http://dx.doi.org/10.21314/JOP.2019.225
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| 41) | Gadre, M.P., Kakade, V.C. (2019). Sample based side sensitive group runs control chart to detect shifts in the process mean. Communications in Statistics-Simulation and Computation,
1-11.
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2019.1648825
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| 42) | Pathare, S.B., Gedam, V.K. (2019). Some confidence regions for traffic intensity vector. Statistics, Optimization and Information Computing,
7 (2), 360-369.
ISSN(print/online): 2311-004X/2310-5070,
URL/DOI: http://dx.doi.org/10.19139/soic.v7i2.356
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| 43) | Pathare, S.B., Gedam, V.K. (2019). Mean response time of a two stage open queueing network model with feedback. International Journal of Operational Research,
35 (3), 397-423.
ISSN(print/online): 1745-7645/1745-7653,
URL/DOI: http://dx.doi.org/10.1504/IJOR.2019.101201
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| 44) | Jagtap, R.S., Gedam, V.K., Kale, M.M. (2019). Generalised extreme value model with cyclic covariate structure for analysis of non-stationary hydrometeorological extremes. Journal of Earth System Science,
128 (1), 14.
ISSN(print/online): 0253-4126/0973-774X,
URL/DOI: http://dx.doi.org/10.1007/s12040-018-1033-1
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| 45) | Ramtirthkar, M., Kale, M. (2019). Joint estimation of the offspring mean and offspring variance of a second order branching process. Communications in Statistics-Theory and Methods,
1-11.
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2019.1649427
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| 46) | Shende, S., Kale, M., Gupte, N. (2019). Modeling maternal infant HIV transmission having variable hazard rates with two lag time distributions. Communications in Statistics-Simulation and Computation,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2019.1702691
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| 47) | Singla, V., Mukherjee, S., Kashikar, A.S., Safai, P.D., Pandithurai, G. (2019). Black carbon: source apportionment and its implications on CCN activity over a rural region in Western Ghats, India. Environmental Science and Pollution Research,
26 (7), 7071-7081.
ISSN(print/online): 0944-1344/1614-7499,
URL/DOI: http://dx.doi.org/10.1007/s11356-019-04162-w
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| 48) | Latpate, R.V. (2019). Ratio Type HT Estimators for Negative Adaptive Cluster Double Sampling. Statistics and Applications,
17 (2), 11-21.
ISSN(print/online): 2452-7395,
URL/DOI: https://www.ssca.org.in/media/3_17_2_2019_SA_Latpate.pdf
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| 49) | Latpate, R.V., Kshirsagar, J.K. (2019). Negative adaptive cluster sampling. Model Assisted Statistics and Applications,
14 (1), 65-81.
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-180452
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| 50) | Bhogal, S.K., Ramanathan, T.V. (2018). Conditional duration models for high‐frequency data: a review on recent developments. Journal of Economic Surveys,
33 (1), 1-22.
ISSN(print/online): 0950-0804/1467-6419,
URL/DOI: http://dx.doi.org/10.1111/joes.12261
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| 51) | Gadre, M.P., Kakade, V.C. (2018). Two group inspection-based control charts for dispersion matrix. Communications in Statistics-Simulation and Computation,
47 (6), 1652-1669.
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2017.1321120
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| 52) | Pathare, S.B., Gedam, V.K. (2018). Estimation of Traffic Intensity Vector of a Two Stage Open Queueing Network Models with Feedback. International Journal of Computational and Theoretical Statistics,
5 (2), 101-113.
ISSN(print/online): 2384-4795/2210-1519,
URL/DOI: http://dx.doi.org/10.12785/ijcds/070606
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| 53) | Jagtap, A., Maurya, S., Jadhav, P., Dighe, B., Kashikar, A., Punekar, S., Sardesai, M., Karmalkar, N., Bhargava, S. (2018). Phylogenetic and population studies of geophytic Euphorbia species (subgenus Euphorbia) from some deciduous forests and hill top plateaus in India. Webbia,
73 (2), 269-279.
ISSN(print/online): 0083-7792/2169-4060,
URL/DOI: http://dx.doi.org/10.1080/00837792.2018.1476207
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| 54) | Deshpande, J.V., Dewan, I., Lam, K.F., Naik‐Nimbalkar, U.V. (2018). Tests for specific nonparametric relations between two distribution functions with applications. Applied Stochastic Models in Business and Industry,
35 (2), 247-259.
ISSN(print/online): 1524-1904/1526-4025,
URL/DOI: http://dx.doi.org/10.1002/asmb.2375
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| 55) | Joshi, K., Rajarshi, M.B. (2018). Modified Probability Proportional to Size Sampling. Communications in Statistics-Theory and Methods,
47 (4), 805-815. Google Scholar Citations: 1,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2016.1139131
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| 56) | Gangurde, R., Kumar, B., Gore, S.D. (2018). Optimizing predictive modelling of customer behaviour using simulated annealing. International Journal of Pure and Applied Mathematics,
118 (5), 275-291.
ISSN(print/online): 1311-8080/1314-3395,
URL/DOI: https://www.researchgate.net/profile/Dr_Binod_Kumar/publication/322539331_Optimizing_Predictive_Modelling_of_Customer_Behaviour_Using_Simulated_Annealing/links/5a5f161fa6fdcc68fa9a3cfb/Optimizing-Predictive-Modelling-of-Customer-Behaviour-Using-Simulated-Annealing.pdf
|
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| 57) | Awale, M., Ramanathan, T.V., Kale, M. (2017). Coherent Forecasting In Integer-Valued Ar(1) Models With Geometric Marginals. Journal of Data Science,
15 (1), 95-114. Google Scholar Citations: 1,
ISSN(print/online): 1680-743X/1683-8602,
URL/DOI: http://www.jds-online.com/file_download/576/201701_6.pdf
|
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| 58) | Awale, M., Balakrishna, N., Ramanathan, T.V. (2017). Testing the constancy of the thinning parameter in a random coefficient integer autoregressive model. Statistical Papers,
60 (5), 1515-1539. Google Scholar Citations: 1,
ISSN(print/online): 0932-5026/1613-9798,
URL/DOI: http://dx.doi.org/10.1007/s00362-017-0884-x
|
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| 59) | Mishra, A., Ramanathan, T.V. (2017). Nonstationary autoregressive conditional duration models. Studies in Nonlinear Dynamics and Econometrics,
21 (4), 57. Google Scholar Citations: 2,
ISSN(print/online): 1558-3708/1081-1826,
URL/DOI: https://doi.org/10.1515/snde-2015-0057
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| 60) | Ramanathan, V.T., Narayanan, P., Thomas, T., Ramanathan, T.V. (2017). An Adaptive Index Associated With Community Ownership and Preparedness for The HIV Prevention Program in India. Indian Journal of Public Health Research and Development,
8 (4), 985-992.
ISSN(print/online): 0976-0245/0976-5506,
URL/DOI: http://dx.doi.org/10.5958/0976-5506.2017.00459.4
|
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| 61) | Gadre, M.P., Adnaik, S.B., Rattihalli, R.N. (2017). Continuous single attribute control chart for Markov-dependent processes. Journal of Applied Statistics,
44 (6), 1000-1012. Google Scholar Citations: 1,
ISSN(print/online): 0266-4763/1360-0532,
URL/DOI: http://dx.doi.org/10.1080/02664763.2016.1191621
|
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| 62) | Gedam, V.K., Pathan, M.B. (2017). Extended Stochastic Transportation Problem with Flexible inputs. IOSR Journal of Mathematics,
13 (1), 48-59.
ISSN(print/online): 2319-765X/2278-5728,
URL/DOI: http://dx.doi.org/10.9790/5728-10655863
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| 63) | Gedam, V.K., Pathan, M.B. (2017). An Algorithm to Decide Shipment Plan of Homogenous Goods with Stochastic Demand and Availability. Asian Research Journal of Mathematics,
3 (1), 1-17.
ISSN(print/online): 2456-477X,
URL/DOI: http://dx.doi.org/10.9734/ARJOM/2017/32172
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| 64) | Waman, V.P., Kale, M.M., Kulkarni-Kale, U. (2017). Genetic diversity and evolution of dengue virus serotype 3: A comparative genomics study. Infection, Genetics and Evolution,
49, 234-240. Google Scholar Citations: 7, WoS Citations: 3,
ISSN(print/online): 1567-1348/1567-7257,
URL/DOI: http://dx.doi.org/10.1016/j.meegid.2017.01.022
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| 65) | Parulekar, N.N., Kolekar, P., Jenkins, A., Kleiven, S., Utkilen, H., Johansen, A., Sawant, S., Kulkarni-Kale, U., Kale, M., Sæbø, M. (2017). Characterization of bacterial community associated with phytoplankton bloom in a eutrophic lake in South Norway using 16S rRNA gene amplicon sequence analysis. PloS One,
12 (3), e0173408. Google Scholar Citations: 17, WoS Citations: 11,
ISSN(print/online): 1932-6203,
URL/DOI: http://dx.doi.org/10.1371/journal.pone.0173408
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| 66) | Kashikar, A.S. (2017). Estimation of growth rate in second order branching process. Journal of Statistical Planning and Inference,
191, 1-12. Google Scholar Citations: 2,
ISSN(print/online): 0378-3758/1873-1171,
URL/DOI: http://dx.doi.org/10.1016/j.jspi.2017.06.003
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| 67) | Kashikar A.S., Kaur I., Rajarshi M.B. (2017). A bivariate exponential distribution admitting both positive and negative correlations. Journal of the Indian Statistical Association,
55 (2), 127-145.
ISSN(print/online): 0537-2585.
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| 68) | Hanagal, D.D., Pandey, A. (2017). Shared Frailty Models Based on Reversed Hazard Rate for Modified Inverse Weibull Distribution as Baseline Distribution. Communications in Statistics-Theory and Methods,
46 (1), 234-246. Google Scholar Citations: 1,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2014.990102
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| 138) | Ghanizadeh, A., Naik-Nimbalkar, U.V. (2014). On The Convolution of Gamma Random Variables With Respect To Two Parameters Majorization. International Journal of Multidisciplinary and Scientific Emerging Research,
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| 139) | Patil, D.D., Naik-Nimbalkar, U.V. (2014). The Conditional Distribution of Waiting Time Given Queue Length. Economic Quality Control,
29 (1), 11-18.
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| 140) | Deshpande, J.V., Lam, K.F., Naik-Nimbalkar, U.V., Xu, Y. (2014). Tests for comparing the progression of an epidemic in two groups. Journal of the Indian Statistical Association,
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| 141) | Sutar, S.S., Naik-Nimbalkar, U.V. (2014). Accelerated Failure Time Models for Load Sharing Systems. IEEE Transactions on Reliability,
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| 142) | Rohan, N., Ramanathan, T.V. (2013). Nonparametric estimation in time-varying GARCH models. Journal of Non-Crystalline Solids,
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| 143) | Rohan, N., Ramanathan, T.V. (2013). Geometric ergodicity of asymmetric volatility models with stochastic parameters. Electronic Journal of Probability,
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| 144) | Kashikar, A.S., Rohan, N., Ramanathan, T.V. (2013). Integer Autoregressive Models with Structural Breaks. Journal of Applied Statistics,
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| 145) | Jadhav, D., Ramanathan, T.V., Naik-Nimbalkar, U.V. (2013). Modified expected shortfall: a new robust coherent risk measure. Journal of Risk,
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| 146) | Gedam, V.K., Pathare, S.B. (2013). Calibrated Confidence Intervals for Intensities of a Two Stage Open Queueing Network with Feedback. Journal of Statistics and Mathematics,
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| 147) | Gedam, V.K., Pathare, S.B. (2013). Comparison of different confidence intervals of intensities for an open queueing network with feedback. American Journal of Operations Research,
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| 148) | 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.
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| 149) | 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: 6,
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| 150) | 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.
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| 151) | 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,
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| 152) | 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: 3,
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| 153) | Hanagal, D.D., Sharma, R. (2013). Modeling Heterogeneity for Bivariate Survival Data by Shared Gamma Frailty Regression Model. Model Assisted Statistics and Applications,
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| 154) | Hangal, D.D., Sharma, R. (2013). Analysis of diabetic retinopathy data using shared inverse Gaussian frailty model. Model Assisted Statistics and Applications,
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| 155) | 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.
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| 156) | 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: 15,
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| 157) | 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.
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| 158) | 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,
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| 159) | Rohan, N., Ramanathan, T.V. (2012). Asymmetric volatility models with structural breaks. Communications in Statistics-Simulation and Computation,
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| 160) | 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,
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| 161) | 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,
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| 162) | 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: 6,
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| 163) | Tayefi, M., Ramanathan, T.V. (2012). An overview of FIGARCH and related time series models. Austrian Journal of Statistics,
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| 164) | 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,
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| 165) | Kashikar, A.S., Deshmukh, S.R. (2012). Second Order Branching Process with Continuous State Space. Statistics and Probability Letters,
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| 166) | 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,
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| 167) | 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.
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URL/DOI: https://pdfs.semanticscholar.org/104e/70656dac363f7c2129df0218a14fd71b3106.pdf
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| 168) | 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.
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| 169) | 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,
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| 170) | Hanagal, D.D., Sharma, R. (2012). A bivariate Gompertz regression model with shared gamma frailty for censored data. Model Assisted Statistics and Applications,
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| 171) | Kaur, I., Rajarshi, M.B. (2012). Ridge Regression for Estimation of Transition Probabilities from Aggregate Data. Communications in Statistics-Simulation and Computation,
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| 172) | Gurao, R., Gore, S.D. (2012). Estimating population maximum using different sampling designs. Journal of Statistics Science,
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| 173) | Malekzadeh, P., Gore, S.D. (2012). A Stochastic Approach to General Nonlinear Programming Problems. Communications in Statistics-Simulation and Computation,
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| 174) | Tayefi, M., Gore, S.D. (2012). A new alignment method of clustering time series data. Journal of Statistics Science,
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| 175) | 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,
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| 176) | Rohan, N., Ramanathan, T.V. (2011). Order Selection in Arma Models Using The Focused Information Criterion. Australian and New Zealand Journal of Statistics,
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| 177) | 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,
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| 178) | 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,
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| 179) | 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,
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| 180) | 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,
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| 181) | Hanagal, D.D., Ahmedi, K.A. (2011). Bivariate linear failure rate distribution. International Journal of Statistics and Management Systems,
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| 182) | 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.
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| 183) | Hanagal, D.D., Samajdwar, J. (2011). Quality loss index QLI and its properties. Economic Quality Control,
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| 184) | 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.
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| 185) | 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.
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| 186) | 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,
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| 187) | 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.
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| 188) | 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.
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| 189) | Ashoor, A.S., Gore, S.D. (2011). Importance of Intrusion Detection System (IDS). International Journal of Scientific and Engineering Research,
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| 190) | Malekzadeh, P., Gore, S.D. (2011). A simulation alternative to simplex algorithm. Pakistan Journal of Statistics,
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| 191) | Ashoor, A.S., Gore, S.D. (2011). What is the difference between Hackers and Intruders. International Journal of Scientific and Engineering Research,
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| 192) | 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,
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| 193) | 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.
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| 194) | 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,
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| 195) | Abegaz, F., Naik-Nimbalkar, U.V. (2011). Semiparametric score test for varying copula parameter in Markov time series. Statistics,
45 (3), 209-222.
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| 196) | Ramanathan, T.V., Ghadge, C. (2010). Tests for randomness of the technology parameter in a stochastic frontier regression model. Statistical Methods and Applications,
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| 197) | Hanagal, D.D. (2010). Correlated compound Poisson frailty model for the bivariate survival data. International Journal of Statistics and Management Systems,
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| 198) | Hanagal, D.D., Mandrekar, V. (2010). Generalized Loss of Memory Property and a Multivariate Extension. Economic Quality Control,
24 (1), 43-54.
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| 201) | Hangal, D.D. (2010). Modeling heterogeneity for bivariate survival data by the compound poisson distribution. Model Assisted Statistics and Applications,
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| 202) | Hangal, D.D. (2010). Modeling heterogeneity for bivariate survival data by the compound Poisson distribution with random scale. Statistics and Probability Letters,
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| 203) | Hangal, D.D. (2010). Modeling heterogeneity for bivariate survival data by the Weibull distribution. Statistical Papers,
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| 204) | 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,
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| 205) | 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,
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