Publications
2024
Goyal, D., Ali, R. and Hazra, N. K. (2024). Reliability analysis of δ-shock models based on the Markovian arrival process. Applied Stochastic Models in Business and Industry, https://doi.org/10.1002/asmb.2858.
Goyal, D. and Xie M. (2024). On the compound Poisson phase-type process and its application in shock models. Journal of Computational and Applied Mathematics, https://doi.org/10.1016/j.cam.2024.115852.
Goyal, D., Hazra, N. K. and Finkelstein, M. (2024). On survival of coherent systems subject to random shocks. Methodology and Computing in Applied Probability, https://link.springer.com/article/10.1007/s11009-024-10077-y.
Goyal, D., Hazra, N. K. and Finkelstein, M. (2024). Shock models based on renewal processes with matrix Mittag-Leffler distributed inter-arrival times. Journal of Computational and Applied Mathematics, 435, 115090.
2023
Goyal, D., Hazra, N. K. and Finkelstein, M. (2023). A general class of shock models with dependent inter-arrival times. TEST, 32, 1079-1105.
2022
Goyal, D., Hazra, N. K. and Finkelstein, M. (2022). On properties of the Phase-type mixed Poisson process and its applications to reliability shock modeling. Methodology and Computing in Applied Probability, 24, 2933-2960
Goyal, D., Hazra, N. K. and Finkelstein, M. (2022). On the general delta-shock model. TEST, 31, 994-1031.
Goyal, D., Finkelstein, M. and Hazra, N. K. (2022). On history-dependent mixed shock models. Probability in the Engineering and Informational Sciences, 36, 1080-1097.
Goyal, D., Hazra, N. K. and Finkelstein, M. (2022). On the time-dependent delta-shock model governed by the generalized PóLya process. Methodology and Computing in Applied Probability, 24, 1627-1650.