Academic Profile :

• Ph. D. in Statistics (2010), Indian Statistical Institute.
• Specialist Development Programme in SQC & OR (1997), Indian Statistical Institute.
• M. Tech in Quality, Reliability and Operations Research (1996), Indian Statistical Institute.
• M. Sc. in Statistics (1993), University of Calcutta.
• B. Sc. (Hons.) in Statistics (1991), University of Calcutta

Ph. D. Thesis Supervision:

• Ritwik Bhattacharya (2016), On some design issues in censored life testing experiments (Jointly with Prof. Anup Dewanji, ASU, ISI). 
• Sonal Budhiraja (2018), Inference and optimum life testing plans with censoring.
• Siddhartha Chakraborty (2023), On cumulative information measures: Properties, inferences and applications
• Arindam Panja (2023). On some isuues of stochastic comparisons & their applications
• Rathin Das. Topic: Reliability acceptance sampling plans (Ongoing).
• Barin Karmakar. Topic: Degradation-based reliability analysis (Ongoing)

Publications :

1. Das, R. and Pradhan, B. (2024). Bayesian reliability acceptance sampling plans under interval censoring. Communications in Statistics -Theory and Methods, Accepted.
2. Chakraborty, S., Bhattacharya , R. & Pradhan, B. On the application of compound optimal design strategy in progressively type-II censored life-testing experiments. Quality Engineering,  Accepted.
3. Chakraborty, S., and  Pradhan, B. (2024).  On cumulative residual information generating function: properties, inference and applications. OPSEARCH, Accepted.
4. Das, O., Chakraborty, S. and Pradhan, B. (2024). On Mathai-Haubold past entropy measure. Journal of the Indian Society for Probability and Statistics, https://doi.org/10.1007/s41096-024-00183-y.
5. Panja, A., Kundu, P. and Pradhan, B. (2024). Comparisons of coherent systems with active redundancy and component lifetime following the proportional odds model. Annals of Operations Research, https://doi.org/10.1007/s10479-024-05861-5.
6. Chakraborty, S. and Pradhan, B. (2023). On cumulative residual extropy of coherent and mixed systems. Annals of Operations Research, https://doi.org/10.1007/s10479-023-05727-2.
7. Panja, A., Kundu, P. and Pradhan, B. (2023). Stochastic comparisons of coherent systems with active redundancy at the component or system levels and component lifetimes following the accelerated life model. Applied Stochastic Models in Business and Industry, https://doi.org/10.1002/asmb.2822.
8. Chakraborty, S., Das, O. and Pradhan, B. (2023).  Weighted negative cumulative extropy with application in testing uniformity.  Physica A: Statistical Mechanics and Its Applications, https://doi.org/10.1016/j.physa.2023.128957.
9. Panja, A., Kundu, P. Hazra, N. K. and Pradhan, B. (2023). Stochastic comparisons of largest claim and aggregate claim amounts. Probability in the Engineering and Informational Sciences, DOI: https://doi.org/10.1017/S0269964823000104.
10. Chakraborty, S., Bhattacharya, R. and Pradhan, B. (2023). Cumulative entropy of progressively type-II censored order statistics and associated optimal life testing-plans. Statistics, 57(1): 161-174,  https://doi.org/10.1080/02331888.2023.2168666.
11. Chakraborty, S. and Pradhan, B. (2023). On estimation of cumulative residual extropy and its quantile version. Ricerche di Mathematica, https://doi.org/10.1007/s11587-022-00757-7.
12. Chakraborty, S. and Pradhan, B. (2023). Some properties of weighted survival extropy and its extended measures. Communications in Statistics -Theory and Methods, 53(1): 66-89, https://doi.org/10.1080/03610926.2022.2076118.
13. Chakraborty, S. and Pradhan, B. (2023). Generalized weighted survival and failure entropies and their dynamic versions. Communications in Statistics -Theory and Methods, 52(3): 730-750, https://doi.org/10.1080/03610926.2021.1921803.
14. Chakraborty, S. and Pradhan, B. (2023). On weighted cumulative Tsallis residual and past entropy measures. Communications in Statistics - Simulation and Computation, 52(5), 2058-2072, https://doi.org/10.1080/03610918.2021.1897623.
15. Roy, S. and Pradhan, B. (2022). Inference for Log-Location-Scale Family of Distributions under Competing Risks with Progressive Type-I Interval Censored Data. Statistica Neerlandica, https://doi.org/10.1111/stan.12282.
16. Chakraborty, S. and Pradhan, B. (2022). Weighted cumulative residual Kullback–Leibler divergence: properties and applications. Communications in Statistics: Simulation and Computation, https://doi.org/10.1080/03610918.2022.2108053.
17. Panja, A., Kundu, P. and Pradhan, B. (2022). Dispersive and star ordering of sample extremes from dependent random variables following the proportional odds models. Communications in Statistics -Theory and Methods, https://doi.org/10.1080/03610926.2022.2037643.
18. Panja, A., Kundu, P. and Pradhan, B. (2022). On stochastic comparisons of finite mixture models. Stochastic Models, 38, 190-213, https://doi.org/10.1080/15326349.2021.1987264.
19. Sen, T., Bhattacharya, R., Pradhan, B. and Tripathi, Y. M. (2021). Determination of Bayesian optimal warranty length under Type II unified hybrid censoring scheme. Quality Technology & Quantitative Management, https://doi.org/10.1080/16843703.2021.1981530.
20. Roy, S., Pradhan, B. and Purakayastha, A. (2021). On inference and design under progressive type-I interval censoring scheme for Inverse Gaussian lifetime model. International Journal of Quality and Reliability Management, https://doi.org/10.1108/IJQRM-07-2020-0222.
21. Panja, A., Kundu, P. and Pradhan, B. (2021). Stochastic comparisons of lifetimes of series and parallel systems with dependent and heterogeneous components. Operations Research Letters, 40, 176-183.
22. Sen, T., Bhattacharya, R., Pradhan, B. and Tripathi, Y. M. (2021). Statistical inference and Bayesian optimal life‐testing plans under Type‐II unified hybrid censoring scheme. Quality and Reliability Engineering International,  37 (1), 78-89, https://doi.org/10.1002/qre.2721.
23. Sen, T., Bhattacharya, R. Tripathi, Y. M. and Pradhan, B. (2020). Inference and optimum life testing plans based on Type-II progressive hybrid censored generalized exponential data. Communications in Statistics – Simulation and Computation, 49(12), 3254-3282.
24. Mondal, S., Bhattacharya, R., Pradhan, B. and Kundu, D. (2020). Bayesian optimal life testing plan under the balanced two sample type-II progressive censoring scheme. Applied Stochastic Models in Business and Industry, 36, 628-640. 
25. Budhiraja, S. and Pradhan, B. (2020). Point and interval estimation under progressive type-I interval censoring with random removal. Statistical Papers, 61, 445-477.
26. Dauda, K. A., Pradhan, B., Uma Shankra, B. and Mitra, S. (2019). Decision tree for modeling survival data with competing risks, Biocybernetics and Biomedical Engineering, 39, 697-708.
27. Roy, S. and Pradhan, B. (2019).  Bayesian C -optimal life testing plans under progressive type-I interval censoring scheme, Applied Mathematical Modelling, 70, 299-314. 
28. Budhiraja, S. and Pradhan, B. (2019). Optimum reliability acceptance sampling plans under progressive type-I interval censoring with random removal using a cost model. Journal of Applied Statistics, 46, 1492-1517.
29. Pradhan, B. (2018).  Discussion of “Birnbaum-Saunders distribution: A review of models, analysis, and applications” by N. Balakrishnan and Debasis Kundu. Applied Stochastic Models in Business and Industry, 35, 61-63.
30. Sen, T., Pradhan, B. Tripathi, Y. M. and  Bhattacharya, R. (2018). Fisher information in generalized progressive hybrid-censored data. Statistics, 52(5), 1025-1039.
31. Sen, T., Bhattacharya, R. Tripathi, Y.M. and Pradhan, B. (2018).  Generalized hybrid censored reliability acceptance sampling plans for the Weibull Distribution. American Journal of Mathematical And Management Sciences, 37 (4), 324-343.
32. Jain, A., Pradhan, B. and Kundu, D. (2018).  Bayesian inference on general order statistic models. Modeling and Simulation Based Analysis in Reliability and Engineering, Ed. Mangey Ram, CRC Press.
33. Bhattacharya, R. and Pradhan, B. (2018). Bayesian design of life testing plans under hybrid censoring scheme. Quality and Reliability Engineering International, 34, 93-106.
34. Banerjee, B. and Pradhan, B. (2018). Kolmogorov-Smirnov test for life test data with hybrid censoring. Communications in Statistics-Theory and Methods, 47 (11), 2590-2604.
35. Roy, S. and Pradhan, B. (2017), Bayesian optimum life testing plans under progressive type-I interval censoring scheme. Quality and Reliability Engineering International, 33, 2727 – 2737.
36. Roy, S., Gijo, E. V. and Pradhan, B. (2017). Estimation of P[X < Y] for generalized half logistic distribution based on type-II censored data. International Journal of Quality and Reliability Management, 34 (7), 1111-1122.
37. Roy, S., Gijo, E. V. and Pradhan, B. (2017). Inference based on progressive Type I interval censored data from log-normal distribution. Communications in Statistics-Simulation and Computation, 46 (8), 6495-6512.
38. Bhattacharya, R. and Pradhan, B. (2017). Computation of optimum Type-II progressively hybrid censoring schemes using variable neighborhood search algorithm. TEST, 26, 802-821.
39. Budhiraja, S., Pradhan, B. and Sengupta, D. (2017). Maximum likelihood estimators under progressive Type-I interval censoring. Statistics and Probability Letters, 123, 202-209.
40. Budhiraja, S., Pradhan, B. (2017). Computing optimum design parameters of a progressive type I interval censored life test from a cost model. Applied Stochastic Models in Business and Industry, 33, 494-506.
41. Pradhan, B. and Kundu, D. (2016). A choice between Poisson and geometric distributions, Journal of the Indian Society for Probability and Statistics, 17 (2), 111-123.
42. Bhattacharya, R., Pradhan, B. and Dewanji, A. (2016).  On optimum life-testing plans under Type-II progressive censoring scheme using variable neighborhood search algorithm. TEST, 25(2), 309-330.
43. Pradhan, B. and Kundu, D. (2016). Bayes estimation for the Block and Basu bivariate and multivariate Weibull distributions. Journal of Statistical Computation and Simulation, 86, 170-182.
44. Bhattacharya, R., Pradhan, B. and Dewanji, A. (2015).  Computation of optimum reliability acceptance sampling plans in presence of hybrid censoring. Computational Statistics and Data Analysis, 83, 91-100.
45. Pradhan, B. and Kundu, D. (2014). Analysis of interval censored data with Weibull lifetime distribution. Sankhya B, 76, 120-139.
46. Dey, S.  and Pradhan, B. (2014). Generalized inverted exponential distribution under hybrid censoring. Statistical Methodology, 18, 101-114.
47. Pradhan, B., Roy, S. and Anis, M. Z. (2014). Inference for the component and system life distribution of a k-unit parallel system based on system data. Communications in Statistics- Computation and Simulation, 43, 45-61.  
48. Bhattacharya, R., Pradhan, B. and Dewanji, A. (2014). Optimum life testing plans in presence of hybrid censoring: A cost function approach. Applied Stochastic Models in Business and Industry,  30, 519-528.
49. Bhattacharya, S., Pradhan, B. and Kundu, D. (2014). Analysis of hybrid censored competing risks data. Statistics, 48, 1138-1154.
50. Pradhan, B. and Kundu, D. (2013). Inference and optimal censoring schemes for progressively censored Birnbaum-Saunders distribution. Journal of Statistical Planning and Inference, 143 (6), 1098-1108.
51. Pradhan, B., Dewanji, A. and Goswami, A. (2013). Nonparametric estimation of quality adjusted lifetime distribution in a simple illness-death model. Statistics, 47(5), 1030-1046.
52. Kundu, D. and Pradhan, B. (2011).  Bayesian analysis of progressively censored competing risks data. Sankhya B, 73 (2), 276-296.
53. Pradhan, B. and Kundu, D. (2011). Bayes estimation and prediction of the two   parameter gamma distribution. Journal of Statistical Computation and Simulation, 81, 1187-1198.
54. Pradhan, B. and Dewanji, A (2011).  Semi-parametric estimation of quality adjusted lifetime (QAL) distribution in semi-Markov illness-death model. Sankhya Ser. B, 73 (1), 81-104.
55. Dube, S., Pradhan, B. and Kundu, D. (2011). Parameter estimation of the hybrid censored log-normal distribution. Journal of Statistical Computation and Simulation, 81, 275-287.  
56. Pradhan, B. and Dewanji, A. (2010). Nonparametric estimator for the survival function of quality adjusted lifetime (QAL) in a three-state illness-death model.  Journal of the Korean Statistical Society, 39, 315-324.
57. Pradhan, B. (2010). Establishing process parameter levels for double sided PCBs. The International Journal of Advanced Manufacturing Technology, 50, 1025-1031.  
58. Pradhan, B., Dewanji, A. and Sengupta, D. (2010). Parametric estimation of quality adjusted lifetime (QAL) distribution in simple illness-death model. Communications in Statistics- Theory and Methods, 39, 77-93.
59. Pradhan, B., Mukhopadhyay, A. and Maity, B. (2009). Controlling energy utilization at reheat furnace using time series model. Economic Quality Control, 24 (2), 195-205.
60. Pradhan, B. and Dewanji, A. (2009). On induced dependent censoring for quality adjusted lifetime (QAL) data in simple illness-death model. Statistics and Probability Letters, 79, 2170-2176.
61. Pradhan, B. and Dewanji, A. (2009). Parametric estimation of quality adjusted lifetime (QAL) distribution for two general illness-death models. Calcutta Statistical Association Bulletin, Vol. 61 (Special 6-th Triennial Proceedings Volume), No.s 241-244, 33-59. 
62. Pradhan, B. and Dewanji, A. (2009). Parametric estimation of quality adjusted lifetime (QAL) distribution in progressive illness-death model. Statistics in Medicine, 28, 2012-2027.
63. Kundu, D. and Pradhan, B. (2009). Bayesian inference and life testing plans for generalized exponential distribution. Science in China Series A: Mathematics, 52 (6), 1373-1388.
64. Kundu, D. and Pradhan, B., (2009). Estimating the parameters of the generalized exponential distribution in presence of hybrid censoring, Communications in Statistics -Theory and Methods, vol. 38 (Special issue: Ordered data analysis), 2030-2041.
65. Pradhan, B. and Kundu, D. (2008). On progressively censored generalized     exponential distribution. TEST, 18 (3), 497-515.
66. Mukhopadhyay, A. R.,  Pradhan, B. and Gupta, A. (2008). Developing an index for trading through multi commodity exchange in India. Journal of Management Research, 8 (3), 169-175.
67. Mukhopadhyay, A., Pradhan, B., Adiga, N. and Trivedi, A. K., (2008). Online prediction and optimization of shape of cold rolled sheet for better dimensional control. Ironmaking and Steelmaking, 35 (5), 343-358.
68. Pradhan, B. (2008). The distribution of the profile of aluminium coil. Economic Quality Control, 23(1), 71-83.
69. Pradhan, B. (2007). Point and interval estimation for the lifetime distribution of a k-unit parallel system based on progressively type-II censored data. Economic Quality Control, 22(2), 175-186.
70. Pradhan, B. (2005). An application of multivariate statistical techniques for cost effective decision making –A Case Study. Calcutta Statistical Association Bulletin,  Vol. 57, Nos 225-226, pp. 109-119.
71. Pradhan, B. and Chakraborty, T. K. (2005). Single sampling LTPD plans as a two-stage stochastic programming problem, Operations Research with Economic and Industrial Applications: Emerging trends; edited by S. R. Mohan and S. K. Neogy, Anamya Publishers, New Delhi, India;  pp. 85 –96.

Technical Reports

1. Chakraborty, S. and Pradhan, B. (2021), On weighted cumulative residual extropy and its dynamic version. Technical Report No. SQCOR-2021-02, SQC&OR Division, Indian Statistical Institute.
2. Chakraborty, S. and Pradhan, B. (2020),  Quantile based analysis of survival and failure extropy measures. Technical Report No. SQCOR-2020-08, SQC&OR Division, Indian Statistical Institute.
3. Chakraborty, S.  and Pradhan, B. (2020),  On weighted cumulative Tsallis residual and past entropy measures. Technical Report No. SQCOR-2020-07, SQC & OR Division, Indian Statistical Institute.