Journal Articles:
Dutta, S., Ng, H.K.T. and Kayal, S., 2024. Inference for Kumaraswamy‐G family of distributions under unified progressive hybrid censoring with partially observed competing risks data. Statistica Neerlandica, 78(4), pp.719-742. https://doi.org/10.1111/stan.12357
Dutta, S. and Kayal, S., 2024. Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme. Journal of Applied Statistics, 51(1), pp.1-33. https://doi.org/10.1080/02664763.2022.2113865
Dutta, S., Lio, Y., and Kayal, S., 2024. Parametric inferences using dependent competing risks data with partially observed failure causes from MOBK distribution under unified hybrid censoring. Journal of Statistical Computation and Simulation, 94(2), 376-399. https://doi.org/10.1080/00949655.2023.2249165
Ogunde, A.A., Dutta, S. and Almetawally, E.M., 2024. Half Logistic Generalized Rayleigh Distribution for Modeling Hydrological Data. Annals of Data Science, pp.1-28. https://doi.org/10.1007/s40745-024-00527-2
Elshahhat, A., Dutta, S., Abo-Kasem, O. E., & Mohammed, H. S., 2023. Statistical analysis of the Gompertz-Makeham model using adaptive progressively hybrid Type-II censoring and its applications in various sciences. Journal of Radiation Research and Applied Sciences, 16(4), 100644. https://doi.org/10.1016/j.jrras.2023.100644
Dutta, S. and Kayal, S., 2023. Inference of a competing risks model with partially observed failure causes under improved adaptive type-II progressive censoring. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 237(4), pp.765-780. https://doi.org/10.1177/1748006X221104555
Dutta, S., Dey, S. and Kayal, S., 2023. Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data. Computational Statistics, pp.1-47. https://doi.org/10.1007/s00180-023-01376-y
Dutta, S., Sultana, F. and Kayal, S., 2023. Bayesian and non-Bayesian inference for a general family of distributions based on simple step-stress life test using TRV model under type II censoring. Sequential Analysis, 42(4), pp.349-370. https://doi.org/10.1080/07474946.2023.2224401
Dutta, S., Ng, H.K.T. and Kayal, S., 2023. Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data. Journal of Computational and Applied Mathematics, 422, p.114934. https://doi.org/10.1016/j.cam.2022.114934
Dutta, S., Sultana, F. and Kayal, S., 2023. Statistical Inference for Gumbel Type-II Distribution Under Simple Step-Stress Life Test Using Type-II Censoring. Iranian Journal of Science, 47(1), pp.155-173. https://doi.org/10.1007/s40995-022-01394-3
Dutta, S. and Kayal, S., 2022. Bayesian and non‐Bayesian inference of Weibull lifetime model based on partially observed competing risks data under unified hybrid censoring scheme. Quality and Reliability Engineering International, 38(7), pp.3867-3891. https://doi.org/10.1002/qre.3180
Dutta, S. and Kayal, S., 2022. Estimation of parameters of the logistic exponential distribution under progressive type-I hybrid censored sample. Quality Technology & Quantitative Management, 19(2), pp.234-258. https://doi.org/10.1080/16843703.2022.2027601
Conference Proceedings:
Dutta, S. and Kayal, S., 2022. Reliability analysis of K-out-of-N system for Weibull components based on generalized progressive hybrid censored data, Proceedings of the 32nd European Safety and Reliability Conference, ESREL 2022.