Inferences for Weibull-exponential distribution based on progressive type-II censoring under step-stress partially accelerated life test model

DOI10.1007/s42519-018-0018-3zbMath1425.62138OpenAlexW2912156114WikidataQ115600255 ScholiaQ115600255MaRDI QIDQ2322022

Heba Nagaty, Mohamed Abd Elwahab Mahmoud, Rashad Mohamed El-Sagheer

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-018-0018-3

zbMATH Keywords

maximum likelihood (ML)MCMC approachpartially accelerated life test (PALT)progressive type-II censoring (PRO-II-C)

Mathematics Subject Classification ID

Point estimation (62F10) Censored data models (62N01) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• Estimation of parameters of Weibull-gamma distribution based on progressively censored data
• Inferences in constant-partially accelerated life tests based on progressive type-II censoring
• Markov chains for exploring posterior distributions. (With discussion)
• Progressive censoring methodology: an appraisal (with comments and rejoinder)
• Inference and Optimal Design Based on Step—Partially Accelerated Life Tests for the Generalized Pareto Distribution under Progressive Type-I Censoring
• Optimal design of partially accelerated life tests for the exponential distribution under type-I censoring

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