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)    Tyagi, S., Pandey, A., Hanagal, D.D., Chesneau, C. (2025). A study on comparisons of additive regression frailty models to counter heterogeneity: Bayesian strategies and case study. Communications in Statistics-Simulation and Computation, 54 (11), 4690-4711. ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2024.2391874
2)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2022.2098336
3)    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
4)    Hanagal, D. D. (2024). Analysis of Kidney Infection Data Using Correlated Compound Geometric Frailty Models. American Journal of Mathematical and Management Sciences, 43 (4), 249-262. ISSN(print/online): 0196-6324/2325-8454, URL/DOI: http://dx.doi.org/10.1080/01966324.2024.2439811
5)    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
6)    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/media/17_SA27032023_R1_SA_09042023_David_Hanagal_FINAL_Finally_oXVUBLL.pdf
7)    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
8)    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, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-221414
9)    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
10)    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, ISSN(print/online): 0218-5393/1793-6446, URL/DOI: http://dx.doi.org/10.1142/S0218539321500406
11)    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
12)    Hanagal, D.D. (2022). Correlated Inverse Gaussian Frailty Models Based on Reversed Hazard Rate. Statistics and Applications, 20 (1), 89-111. Google Scholar Citations, ISSN(print/online): 2454-7395, URL/DOI: https://www.ssca.org.in/media/6_Hanagal.pdf
13)    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
14)    Hanagal, D. (2021). Correlated positive stable frailty models. Communications in Statistics-Theory and Methods, 50 (23), 5617-5633. Google Scholar Citations, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2020.1736305
15)    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
16)    Pandey, A., Hanagal, D.D., Tyagi, S. (2021). Generalized Lindley Shared Frailty Models. Statistics and Applications, 19 (2), 41-62. Google Scholar Citations, ISSN(print/online): 2454-7395, URL/DOI: https://ssca.org.in/media/4_19_2_2021_SA_David_Hanagal_FINAL.pdf
17)    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
18)    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
19)    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
21)    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, ISSN(print/online): 1680-743X/1683-8602, URL/DOI: http://dx.doi.org/10.6339/JDS.201907
22)    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 the Indian Society for Probability and Statistics, 19 (2), 379-415. Google Scholar Citations, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-018-0050-3
23)    Hanagal, D.D., Bhalerao, N.N. (2018). Analysis of Delayed S Shaped Software Reliability Growth Model with Time Dependent Fault Content Rate Function. Journal of Data Science, 16 (4), 857-878. Google Scholar Citations, ISSN(print/online): 1680-743X/1683-8602, URL/DOI: http://dx.doi.org/10.6339/JDS.201810_16(4).00010
24)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2014.990102
25)    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, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2014.960092
26)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2015.1071395
27)    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, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2015.1085559
28)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2016.1260740
29)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2015.1116581
30)    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, ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/analysis-of-nhpp-software-reliability-growth-models
31)    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, ISSN(print/online): 2053-0811/2053-082X, URL/DOI: http://dx.doi.org/10.1504/IJDS.2017.088102
32)    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
33)    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, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-150359
34)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.870204
35)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2014.901380
36)    Hanagal, D.D., Pandey, A. (2016). Shared Gamma Frailty Models Based on Additive Hazards. Journal of the Indian Society for Probability and Statistics, 1 (1), 1-24. Google Scholar Citations, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-016-0011-7
37)    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
38)    Hanagal, D.D., Bhalerao, N.N. (2016). Modeling and Statistical Inference on Generalized Inverse Weibull Software Reliability Growth Model. Journal of the Indian Society for Probability and Statistics, 17 (2), 145-160. Google Scholar Citations, ISSN(print/online): 2364-9569, URL/DOI: http://dx.doi.org/10.1007/s41096-016-0010-8
39)    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
40)    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, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-140308
41)    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, ISSN(print/online): 0094-9655/1563-5163, URL/DOI: http://dx.doi.org/10.1080/00949655.2014.958086
42)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2012.732182
43)    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
44)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.769600
45)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.768663
46)    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.
47)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2013.813045
48)    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, ISSN(print/online): 1680-743X/1683-8602.
49)    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
50)    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, ISSN(print/online): 2350-0174, URL/DOI: https://ijsreg.com/article/view/bayesian-estimation-in-shared-gamma-frailty-models
51)    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, ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2014.02.008
52)    Hanagal, D.D., Kamble, A.T. (2014). Bayesian estimation in shared inverse Gaussian frailty models. International Journal of Statistics, 1 (1), 9-20.
53)    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.
54)    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,
55)    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
56)    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, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2012.697963
57)    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, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-130260
58)    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. ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2013.07.005
59)    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, ISSN(print/online): 0361-0918/1532-4141, URL/DOI: http://dx.doi.org/10.1080/03610918.2012.661909
60)    Hanagal, D.D., Sharma, R. (2013). Analysis of tumorigenesis data using shared inverse Gaussian frailty models via Bayesian approach. Journal of the Indian Society for Probability and Statistics, 14, 76-102. ISSN(print/online): 2364-9569.
61)    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, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-130259
62)    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, ISSN(print/online): 0361-0926/1532-415X, URL/DOI: http://dx.doi.org/10.1080/03610926.2011.638428
63)    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, ISSN(print/online): 1996-0808, URL/DOI: http://dx.doi.org/10.5897/AJMR2012.2323
64)    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, ISSN(print/online): 1680-743X/1683-8602, URL/DOI: https://www.jds-online.com/files/JDS-1126.pdf
65)    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, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-2011-0220
66)    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, ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2012.03.028
67)    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
68)    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, ISSN(print/online): 0973-7359, URL/DOI: https://pdfs.semanticscholar.org/2a2f/72e2dbe40dc4d29fb49622931f07133bd6c1.pdf
69)    Hanagal, D.D., Kanade, R.A. (2012). Optimal replacement policy based on number of down times of the first component. Journal of the Indian Society for Probability and Statistics, 13, 54-64. ISSN(print/online): 2364-9569.
70)    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
72)    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.
73)    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.
74)    Hanagal, D.D., Samajdwar, J. (2011). Quality loss index QLI and its properties. Stochastics and Quality Control, 26 (1), 63-72. Google Scholar Citations, ISSN(print/online): 2367-2390/2367-2404, URL/DOI: http://dx.doi.org/10.1515/eqc.2011.006
75)    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


76)    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, ISSN(print/online): 1574-1699/1875-9068, URL/DOI: http://dx.doi.org/10.3233/MAS-2010-0117
77)    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, ISSN(print/online): 0167-7152/1879-7152, URL/DOI: http://dx.doi.org/10.1016/j.spl.2010.08.002
78)    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, ISSN(print/online): 0940-5151/1869-6147, URL/DOI: http://dx.doi.org/10.1515/eqc.2010.001
79)    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, ISSN(print/online): 0940-5151/1869-6147, URL/DOI: http://dx.doi.org/10.1515/EQC.2009.207
80)    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, ISSN(print/online): 0940-5151/1869-6147, URL/DOI: http://dx.doi.org/10.1515/eqc.2010.017
81)    Hangal, D.D. (2010). Modeling heterogeneity for bivariate survival data by the Weibull distribution. Statistical Papers, 51 (4), 947-958. Google Scholar Citations, ISSN(print/online): 0932-5026/1613-9798, URL/DOI: http://dx.doi.org/10.1007/s00362-008-0188-2
82)    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
83)    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, ISSN(print/online): 0973-7359.
84)    Hangal, D.D. (2009). Weibull extension of bivariate exponential regression model with different frailty distributions. Statistical Papers, 50 (1), 29-49. Google Scholar Citations, ISSN(print/online): 0932-5026/1613-9798, URL/DOI: http://dx.doi.org/10.1007/s00362-007-0057-4
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