Teacher Details

Hanagal David Devaprasad

Department of Statistics

david@unipune.ac.in

Research Areas : Reliability Theory, Survival Analysis, Bayesian Inference, Statistical Modeling, Frailty Models


Google Scholar Profile | ResearchGate Profile

1)    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
2)    Hanagal, D.D. (2022). Compound Poisson shared frailty models based on additive hazards. Communications in Statistics-Theory and Methods, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2022.2027453
3)    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
4)    Hanagal, D.D. (2022). Correlated compound Poisson frailty models based on reversed hazard rate. Communications in Statistics-Theory and Methods, 1-19. ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2022.2098336
5)    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): 2450-0291, URL/DOI: http://dx.doi.org/10.2478/stattrans-2022-0048
6)    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
7)    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
8)    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
9)    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
10)    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://www.ssca.org.in/media/1_vol._18_No._1_2020_SA_Hanagal.pdf
11)    Latpate, R.V., Thorve, B.K., Hanagal, D.D. (2020). On Use of Arithmetico-Geometric Process for Performance Analysis of a Cold-Standby System under Repair Replacement Policy. International Journal of Statistics and Reliability Engineering, 6 (2), 101-110. ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/on-use-of-arithmetico-geometric-process-for-performance-analysis-of-a-cold-standby-system-under-repair-replacement-policy
12)    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
13)    Hanagal, D.D., Bhalerao, N.N. (2019). Modeling on generalized extended inverse Weibull software reliability growth model. Journal of Data Science, 17 (3), 575-592. Google Scholar Citations: 7, ISSN(print/online): 1680-743X/1683-8602, URL/DOI: http://dx.doi.org/10.6339/JDS.201907
14)    Latpate, R.V., Thorve, B.K., Hanagal, D.D. (2018). Analytical Comparison of An Optimal Replacement Policy for Cold Standby with Priority in Use When Failure and Repair Rates are Uncertain. Journal of Indian Society for Probability and Statistics, 19 (2), 379-415. Google Scholar Citations: 3, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-018-0050-3
16)    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, WoS Citations: 6, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2014.990102
17)    Hanagal, D.D., Pandey, A., Sankaran, P.G. (2017). Shared frailty model based on reversed hazard rate for left censored data. Communications in Statistics-Simulation and Computation, 46 (1), 230-243. Google Scholar Citations: 3, WoS Citations: 7, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2014.960092
18)    Hanagal, D.D., Bhambure, S.M. (2017). Modeling Australian twin data using shared positive stable frailty models based on reversed hazard rate. Communications in Statistics-Theory and Methods, 46 (8), 3754-3771. Google Scholar Citations: 1, WoS Citations: 6, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2015.1071395
19)    Hanagal, D.D., Pandey, A., Ganguly, A. (2017). Correlated Gamma Frailty Models for Bivariate Survival Data. Communications in Statistics-Simulation and Computation, 46 (5), 3627-3644. Google Scholar Citations: 4, WoS Citations: 11, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2015.1085559
20)    Hanagal, D.D., Pandey, A. (2017). Shared Inverse Gaussian Frailty Models Based on Additive Hazards. Communications in Statistics-Theory and Methods, 46 (22), 11143-11162. Google Scholar Citations: 2, WoS Citations: 9, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2016.1260740
21)    Hanagal, D.D., Bhambure, S.M. (2017). Shared Gamma Frailty Models Based on Reversed Hazard Rate for Modeling Australian Twin Data. Communications in Statistics-Theory and Methods, 46 (12), 5812-5826. Google Scholar Citations: 2, WoS Citations: 6, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2015.1116581
22)    Hanagal, D.D., Bhalerao, N.N. (2017). Analysis of NHPP Software Reliability Growth Models. International Journal of Statistics and Reliability Engineering, 3 (2), Google Scholar Citations: 4, ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/analysis-of-nhpp-software-reliability-growth-models
23)    Hanagal, D.D., Pandey, A. (2017). Correlated gamma frailty models for bivariate survival data based on reversed hazard rate. International Journal of Data Science, 2 (4), 301-324. Google Scholar Citations: 14, ISSN(print/online): 2053-0811/2053-082X, URL/DOI: http://dx.doi.org/10.1504/IJDS.2017.088102
24)    Hanagal, D.D., Kamble, A.T. (2016). Bayesian estimation in shared positive stable frailty models. Journal of Data Science, 14 (4), 615-639. ISSN(print/online): 1680-743X/1683-8602, URL/DOI: http://www.jdsruc.org/upload/7%282013-01-01133006%29.pdf
25)    Hanagal, D.D., Bhalerao, N.N. (2016). Modeling and statistical inference on generalized inverse Weibull software reliability model. Journal of Indian Society for Probability and Statistics, 17 (2), 145-160. Google Scholar Citations: 3, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-016-0010-8
26)    Hanagal, D.D., Pandey, A. (2016). Inverse Gaussian shared frailty models based on reversed hazard rate. Model Assisted Statistics and Applications, 11 (2), 137-151. Google Scholar Citations: 3, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-150359
27)    Hanagal, D.D., Pandey, A. (2016). Gamma Shared Frailty Model Based on Reversed Hazard Rate. Communications in Statistics-Theory and Methods, 45 (7), 2071-2088. Google Scholar Citations: 2, WoS Citations: 6, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.870204
28)    Hanagal, D.D., Bhambure, S.M. (2016). Modeling bivariate survival data using shared inverse Gaussian frailty model. Communications in Statistics-Theory and Methods, 45 (17), 4969-4987. Google Scholar Citations: 4, WoS Citations: 13, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2014.901380
29)    Hanagal, D.D., Pandey, A. (2016). Shared Gamma Frailty Models Based on Additive Hazards. Journal of Indian Society for Probability and Statistics, 1 (1), 1-24. Google Scholar Citations: 2, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-016-0011-7
30)    Hanagal, D.D., Kamble, A.T. (2016). Bayesian estimation in shared compound negative binomial frailty models. Research and Reviews: Journal of Statistics and Mathematical Sciences, 2 (1), 53-67. ISSN(print/online): 2319-9873, URL/DOI: http://www.rroij.com/open-access/bayesian-estimation-in-shared-compound-negative-binomial-frailty-models-.php?aid=69699
31)    Hanagal, D.D., Bhalerao, N.N. (2016). Modeling and Statistical Inference on Generalized Inverse Weibull Software Reliability Growth Model. Journal of Indian Society for Probability and Statistics, 17 (2), 145-160. Google Scholar Citations: 8, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-016-0010-8
32)    Hanagal, D.D., Pandey, A. (2015). Modelling bivariate survival data based on reversed hazard rate. International Journal of Mathematical Modelling and Numerical Optimisation, 6 (1), 72-100. ISSN(print/online): 2040-3607/2040-3615, URL/DOI: http://dx.doi.org/10.1504/IJMMNO.2015.068907
33)    Hanagal, D.D., Bhambure, S.M. (2015). Comparison of shared gamma frailty models using the Bayesian approach. Model Assisted Statistics and Applications, 10 (1), 25-41. Google Scholar Citations: 4, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-140308
34)    Hanagal, D.D., Pandey, A. (2015). Gamma frailty models for bivarivate survival data. Journal of Statistical Computation and Simulation, 85 (15), 3172-3189. Google Scholar Citations: 6, WoS Citations: 17, ISSN(print/online): 0094-9655/1563-5163, URL/DOI: http://dx.doi.org/10.1080/00949655.2014.958086
35)    Hanagal, D.D., Sharmaa, R. (2015). Bayesian inference in Marshall-Olkin bivariate exponential shared gamma frailty regression model under random censoring. Communications in Statistics-Theory and Methods, 44 (1), 24-47. Google Scholar Citations: 4, WoS Citations: 12, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2012.732182
36)    Hanagal, D.D., Kamble, A.T. (2015). Bayesian estimation in shared compound Poisson frailty models. Journal of Reliability and Statistical Studies, 8 (1), 159-180. ISSN(print/online): 0974-8024/2229-5666, URL/DOI: http://jrss.in.net/assets/8114.pdf
37)    Hanagal, D.D., Sharma, R. (2015). Comparison of Frailty Models for Acute Leukemia Data under Gompertz Baseline Distribution. Communications in Statistics-Theory and Methods, 44 (7), 1338-1350. Google Scholar Citations: 5, WoS Citations: 10, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.769600
38)    Hanagal, D.D., Sharma, R. (2015). Analysis of Bivariate Survival Data using Shared Inverse Gaussian Frailty Model. Communications in Statistics-Theory and Methods, 44 (7), 1351-1380. Google Scholar Citations: 5, WoS Citations: 13, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.768663
39)    Hanagal, D.D., Pandey, A. (2015). Shared Frailty Models Based on Reversed Hazard Rate for Modeling Australian Twin Data. Indian Association of Productivity Quality and Reliability Transactions, 40 (1), 61-93. ISSN(print/online): 0970-0102.
40)    Hanagal, D.D., Dabade, A.D. (2015). Comparison of Shared Frailty Models for Kidney Infection Data under Exponential Power Baseline Distribution. Communications in Statistics-Theory and Methods, 44 (23), 5091-5108. Google Scholar Citations: 4, WoS Citations: 6, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.813045
41)    Hanagal, D.D., Pandey, A. (2015). Inverse Gaussian Shared Frailty Models with Generalized Exponential and Generalized Inverted Exponential as Baseline Distributions. Journal of Data Science, 13 (3), 569-602. Google Scholar Citations: 2, ISSN(print/online): 1680-743X/1683-8602.
42)    Wagh, D., Kulkarni, M., Hanagal, D., Mhase, N. (2015). Effect of Soil pH on Meloidogyne Species in Piper betel by Path Analysis Study. Indian Journal of Nematology, 45 (1), 71-80. ISSN(print/online): 0303-6960/0974-4444, URL/DOI: http://www.indianjournals.com/ijor.aspx?target=ijor:ijn&volume=45&issue=1&article=012&type=pdf
43)    Hanagal, D.D., Kamble, A.T. (2015). Bayesian Estimation in Shared Gamma Frailty Models. International Journal of Statistics and Reliability Engineering, 1 (2), 88-114. Google Scholar Citations: 1, ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/bayesian-estimation-in-shared-gamma-frailty-models
44)    Hangal, D.D., Pandey, A. (2014). Gamma shared frailty model based on reversed hazard rate for bivariate survival data. Statistics and Probability Letters, 88 (1), 190-196. Google Scholar Citations: 5, WoS Citations: 18, ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2014.02.008
45)    Hanagal, D.D., Kamble, A.T. (2014). Bayesian estimation in shared inverse Gaussian frailty models. International Journal of Statistics, 1 (1), 9-20.
46)    Hanagal, D.D., Bhambure, S.M. (2014). Analysis of kidney infection data using shared positive stable frailty models. Advances in Reliability, 1 (1), 21-39. URL/DOI: http://escitechpublishing.com/j_f_air/Articles/2014V1P21.pdf
47)    Hanagal, D.D., Pandey, A. (2014). Inverse Gaussian Shared Frailty for Modeling Kidney Infection Data. Advances in Reliability, 1 (1), 1-14. Google Scholar Citations: 5, URL/DOI: http://escitechpublishing.com/j_f_air/Articles/2014V1P1.pdf
48)    Hanagal, D.D., Dabade, A.D. (2014). Comparisons of frailty models for kidney infection data under Weibull baseline distribution. International Journal of Mathematical Modelling and Numerical Optimisation, 5 (4), 342-373. ISSN(print/online): 2040-3607/2040-3615, URL/DOI: http://dx.doi.org/10.1504/IJMMNO.2014.065406
49)    Angali, K.A., Latifi, S.M., Hanagal, D.D. (2014). Bayesian estimation of bivariate exponential distributions based on linex and quadratic loss functions: a survival approach with censored samples. Communications in Statistics-Simulation and Computation, 43 (1), 31-44. Google Scholar Citations: 4, WoS Citations: 3, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2012.697963
50)    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
51)    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
52)    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
53)    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.
54)    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
55)    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
56)    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
57)    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
58)    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
59)    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
60)    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
61)    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
62)    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.
63)    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
64)    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
65)    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.
66)    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.
67)    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
68)    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.
  

Publications Before 2011


69)    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
70)    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
71)    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
72)    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
73)    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
74)    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
75)    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
76)    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.
77)    Hangal, D.D. (2009). Weibull extension of bivariate exponential regression model with different frailty distributions. Statistical Papers, 50 (1), 29-49. Google Scholar Citations: 12, WoS Citations: 7, ISSN(print/online): 0932-5026/1613-9798, URL/DOI: http://dx.doi.org/10.1007/s00362-007-0057-4
78)    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
79)    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
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