5 papers
An Exponential-Polynomial Divergence-based Robust Information Criterion for Linear Panel Data Models and Neural Networks
Udita Goswami, Shuvashree Mondal
Model selection is a cornerstone of statistical inference, where information criteria are widely employed to balance model fit and complexity. However, classical likelihood-based c…
Inequality Constrained Minimum Density Power Divergence Estimation in Panel Count Data
Udita Goswami, Shuvashree Mondal
The analysis of panel count data has garnered considerable attention in the literature, leading to the development of multiple statistical techniques. In inferential analysis, most…
Robust Bayesian approach for reliability prognosis of nondestructive one-shot devices under cumulative risk model
Shanya Baghel, Shuvashree Mondal
The present study aims to determine the lifetime prognosis of highly durable nondestructive one-shot devices (NOSD) units under a step-stress accelerated life testing (SSALT) exper…
Exponential-polynomial divergence based inference for nondestructive one-shot devices under progressive stress model
Shanya Baghel, Shuvashree Mondal
Nondestructive one-shot device (NOSD) testing plays a crucial role in engineering, particularly in the reliability assessment of high-stakes systems such as aerospace components, m…
Robust Bayesian inference for nondestructive one-shot device testing data under competing risk using Hamiltonian Monte Carlo method
Shanya Baghel, Shuvashree Mondal
The prevalence of one-shot devices is quite prolific in engineering and medical domains. Unlike typical one-shot devices, nondestructive one-shot devices (NOSD) may survive multipl…