activity
20162026
most citedOne-Shot Device Testing Data Analysis under Logistic-Exponential Lifetimes with an Application to SEER Gallbladder Cancer Data

16 citations · 16 across the 9 of their papers we have counts for

collaborators

11 papers

stat.ME2026

Adaptive LASSO Penalized Minimum Density Power Divergence Estimation through Least Squares Approximation: Application to Bone Mineral Density Data from the SWAN Study

Udita Goswami, Shuvashree Mondal

Linear mixed-effect panel data models are widely used in longitudinal biomedical, environmental, and social studies, but are often sensitive to data contamination and numerous cova…

stat.ME2026

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…

stat.AP2025

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…

stat.ME2025

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…

stat.ME2024

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…

stat.ME2023

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…

stat.AP2022★ 16 cited

One-Shot Device Testing Data Analysis under Logistic-Exponential Lifetimes with an Application to SEER Gallbladder Cancer Data

Shanya Baghel, Shuvashree Mondal

In the literature, the reliability analysis of one-shot devices is found under accelerated life testing in the presence of various stress factors. The application of one-shot devic…

stat.AP2022

Robust estimation of dependent competing risk model under interval monitoring and determining optimal inspection intervals

Shuvashree Mondal, Shanya Baghel

Recently, a growing amount interest is quite evident in modelling dependent competing risks in life time prognosis problem. In this work, we propose to model the dependent competin…

stat.AP2018

Inference on Weibull Parameters Under a Balanced Two Sample Type-II Progressive Censoring Scheme

Shuvashree Mondal, Debasis Kundu

The progressive censoring scheme has received considerable amount of attention in the last fifteen years. During the last few years joint progressive censoring scheme has gained so…

stat.ME2017

Point and Interval Estimation of Weibull Parameters Based on Joint Progressively Censored Data

Shuvashree Mondal, Debasis Kundu

The analysis of progressively censored data has received considerable attention in the last few years. In this paper we consider the joint progressive censoring scheme for two popu…

stat.ME2016

A New Two Sample Type-II Progressive Censoring Scheme

Shuvashree Mondal, Debasis Kundu

Progressive censoring scheme has received considerable attention in recent years. In this paper we introduce a new type-II progressive censoring scheme for two samples. It is obser…