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Shuvashree Mondal

Observed names: Mondal, Shuvashree, S. Mondal
ORCID: 0000-0001-5781-5428
Observed ORCID: 0000-0001-5781-5428
OpenAlex ID: A5076760933
Point and Interval Estimation of Weibull Parameters Based on Joint Progressively Censored Data
2017 · Shuvashree Mondal, Debasis Kundu · Sankhya B · 57
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A new two sample type-II progressive censoring scheme
2018 · Shuvashree Mondal, Debasis Kundu · Communication in Statistics- Theory and Methods · 42
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Bayesian Inference for Weibull Distribution under the Balanced Joint Type-II Progressive Censoring Scheme
2019 · Shuvashree Mondal, Debasis Kundu · American Journal of Mathematical and Management Sciences · 35
Inference on Weibull parameters under a balanced two‐sample type II progressive censoring scheme
2019 · Shuvashree Mondal, Debasis Kundu · Quality and Reliability Engineering International · 32
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On the joint Type-II progressive censoring scheme
2019 · Shuvashree Mondal, Debasis Kundu · Communication in Statistics- Theory and Methods · 27
A bivariate inverse Weibull distribution and its application in complementary risks model
2019 · Shuvashree Mondal, Debasis Kundu · Journal of Applied Statistics · 22
Exact inference on multiple exponential populations under a joint type-II progressive censoring scheme
2019 · Shuvashree Mondal, Debasis Kundu · Statistics · 19
Analysis of one-shot device testing data under logistic-exponential lifetime distribution with an application to SEER gallbladder cancer data
2023 · Shanya Baghel, Shuvashree Mondal · Applied Mathematical Modelling · 17
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Bayesian optimal life‐testing plan under the balanced two sample type‐II progressive censoring scheme
2020 · Shuvashree Mondal, Ritwik Bhattacharya, et al. · Applied Stochastic Models in Business and Industry · 12
Optimal plan for ordered step-stress stage life testing
2022 · Debashis Samanta, Shuvashree Mondal, et al. · Statistics · 11
Optimal decision‐theoretic sampling plan for two exponential distributions under joint censoring scheme
2020 · Deepak Prajapati, Shuvashree Mondal, et al. · Applied Stochastic Models in Business and Industry · 8
Robust estimation of dependent competing risk model under interval monitoring and determining optimal inspection intervals
2024 · Shanya Baghel, Shuvashree Mondal · Applied Stochastic Models in Business and Industry · 6
Two sample Bayesian acceptance sampling plan
2024 · Deepak Prajapati, Shuvashree Mondal, et al. · Annals of Operations Research · 6
Analyzing competing risks data using bivariate Weibull-geometric distribution
2021 · Debasis Kundu, Shuvashree Mondal · Statistics · 5
Implementation of order-restricted inference, optimal design and model misspecification in step-stress model with progressive first-failure censored data
2025 · Ayan Pal, Deepak Prajapati, et al. · Annals of Operations Research · 2
Exact likelihood ratio and Wald tests for the balanced joint progressive censoring scheme
2022 · Shuvashree Mondal, Debasis Kundu · Applied Stochastic Models in Business and Industry · 2
Robust Bayesian inference for nondestructive one-shot device testing data under competing risk using Hamiltonian Monte Carlo method
2026 · Shanya Baghel, Shuvashree Mondal · Journal of Applied Statistics · 1
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Inequality restricted minimum density power divergence estimation in panel count data
2025 · Udita Goswami, Shuvashree Mondal · Applied Mathematical Modelling · 1
Meta-analysis of exponential lifetime data from Type-I hybrid censored samples
2023 · Kiran Prajapat, Shuvashree Mondal, et al. · Communication in Statistics- Theory and Methods · 1
Robust estimation of dependent competing risk model under interval monitoring and determining optimal inspection intervals
2022 · Mondal, Shuvashree, Baghel, Shanya · arXiv (Cornell University) · 1
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A Cure Rate Model for Exponentially Distributed Lifetimes with Competing Risks
2021 · Ayan Pal, Shuvashree Mondal, et al. · Journal of Statistical Theory and Practice · 1
Adaptive LASSO Penalized Minimum Density Power Divergence Estimation through Least Squares Approximation: Application to Bone Mineral Density Data from the SWAN Study
2026 · Goswami, Udita, Mondal, Shuvashree · arXiv (Cornell University)
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Robust estimation for simple step-stress tests under the tampered random variable model and interval-censoring
2026 · U. Goswami, M. Jaenada, et al. · Journal of the Franklin Institute
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An Exponential-Polynomial Divergence-based Robust Information Criterion for Linear Panel Data Models and Neural Networks
2026 · Goswami, Udita, Mondal, Shuvashree · arXiv (Cornell University)
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Inequality Constrained Minimum Density Power Divergence Estimation in Panel Count Data
2025 · Goswami, Udita, Mondal, Shuvashree · arXiv (Cornell University)
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Works count: 27
Citation count: 308
H-index: 10
I10-index: 10
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