Publications
2024
Goyal, D. and Xie M. (2024). Extreme shock model with change point based on the Poisson process of shocks. Applied Stochastic Models in Business and Industry (Accepted).
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.