Teacher Details
Hanagal David Devaprasad
Department of Statistics
david@unipune.ac.in
Research Areas : Reliability Theory, Survival Analysis, Bayesian Inference, Statistical Modeling, Frailty Models
| 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. (2021). Correlated positive stable frailty models. Communications in Statistics-Theory and Methods,
50 (23), 5617-5633. Google Scholar Citations: 2, WoS Citations: 3,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2020.1736305
|
| 5) | 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
|
| 6) | 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
|
| 7) | 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
|
| 8) | 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
|
| 9) | 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
|
| 10) | 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,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2016.1260740
|
| 11) | 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,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2015.1116581
|
| 12) | 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
|
| 13) | Hanagal, D.D., Bhalerao, N.N. (2016). Analysis of NHPP software relibility growth models. International Journal of Statistics and Reliability Engineering,
3 (2), 53-67.
ISSN(print/online): 2350-0174.
|
| 14) | 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
|
| 15) | Hanagal, D.D., Bhambure, S.M. (2016). 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,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2015.1071395
|
| 16) | 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
|
| 17) | 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,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2013.870204
|
| 18) | 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: 2,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2014.901380
|
| 19) | 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
|
| 20) | 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
|
| 21) | 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
|
| 22) | 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
|
| 23) | 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,
ISSN(print/online): 0094-9655/1563-5163,
URL/DOI: http://dx.doi.org/10.1080/00949655.2014.958086
|
| 24) | 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,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2012.732182
|
| 25) | 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
|
| 26) | 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,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2013.769600
|
| 27) | 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: 2,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2013.768663
|
| 28) | Hanagal, D.D., Pandey, A., Sankaran, P.G. (2015). Shared frailty model based on reversed hazard rate for left censoring data. Communications in Statistics-Simulation and Computation,
46 (1), 230-243. Google Scholar Citations: 3,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2014.960092
|
| 29) | 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.
|
| 30) | 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: 1,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2013.813045
|
| 31) | Hanagal, D.D., Pandey, A., Ganguly, A. (2015). Correlated Gamma Frailty Models for Bivariate Survival Data. Communications in Statistics-Simulation and Computation,
46 (5), 3627-3644. Google Scholar Citations: 4,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2015.1085559
|
| 32) | 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.
|
| 33) | 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
|
| 34) | 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: 2,
ISSN(print/online): 0167-7152/1879-7152,
URL/DOI: http://dx.doi.org/10.1016/j.spl.2014.02.008
|
| 35) | Hanagal, D.D., Kamble, A.T. (2014). Bayesian estimation in shared inverse Gaussian frailty models. International Journal of Statistics,
1 (1), 9-20.
URL/DOI: http://escitechpublishing.com/j_f_ijs/Articles/2014V1P9.pdf
|
| 36) | 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
|
| 37) | 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
|
| 38) | 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
|
| 39) | 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: 2,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2012.697963
|
| 40) | 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
|
| 41) | 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
|
| 42) | 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,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610918.2012.661909
|
| 43) | 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.
|
| 44) | 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
|
| 45) | 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,
ISSN(print/online): 0361-0926/1532-415X,
URL/DOI: http://dx.doi.org/10.1080/03610926.2011.638428
|
| 46) | 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
|
| 47) | 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
|
| 48) | 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
|
| 49) | 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
|
| 50) | 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
|
| 51) | 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.
|
| 52) | 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
|
| 53) | 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
|
| 54) | 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.
|
| 55) | 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.
|
| 56) | Hanagal, D.D., Samajdwar, J. (2011). Quality loss index QLI and its properties. Economic Quality Control,
26 (1), 63-72. Google Scholar Citations: 1,
ISSN(print/online): 0940-5151/1869-6147,
URL/DOI: http://dx.doi.org/10.1515/eqc.2011.006
|
| 57) | 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 |
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| 58) | 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: 1,
ISSN(print/online): 1574-1699/1875-9068,
URL/DOI: http://dx.doi.org/10.3233/MAS-2010-0117
|
| 59) | 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: 3,
ISSN(print/online): 0167-7152/1879-7152,
URL/DOI: http://dx.doi.org/10.1016/j.spl.2010.08.002
|
| 60) | 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
|
| 61) | 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
|
| 62) | 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
|
| 63) | 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: 3,
ISSN(print/online): 0932-5026/1613-9798,
URL/DOI: http://dx.doi.org/10.1007/s00362-008-0188-2
|
| 64) | 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
|
| 65) | 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.
|
| 66) | 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: 6,
ISSN(print/online): 0932-5026/1613-9798,
URL/DOI: http://dx.doi.org/10.1007/s00362-007-0057-4
|
| 67) | 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
|
| 68) | 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
|
| 69) | Hanagal, D.D., Ahmadi, K.A. (2009). Bayesian estimation using EM algorithm in bivariate exponential distributions based on censored samples. Journal of Applied Statistical Science,
17 (2), 181-196. Google Scholar Citations: 1,
ISSN(print/online): 1067-5817,
URL/DOI: https://www.researchgate.net/profile/David_Hanagal2/publication/290863514_Bayesian_estimation_using_EM_algorithm_in_bivariate_exponential_distributions_based_on_censored_samples/links/597b15d30f7e9b0469ec6aee/Bayesian-estimation-using-EM-algorithm-in-bivariate-exponential-distributions-based-on-censored-samples.pdf
|
| 70) | 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.
|
| 71) | 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: 4,
ISSN(print/online): 0361-0918/1532-4141,
URL/DOI: http://dx.doi.org/10.1080/03610910902940143
|
| 72) | 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
|
| 73) | 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.
|
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