Inference and Optimal Design Based on Step—Partially Accelerated Life Tests for the Generalized Pareto Distribution under Progressive Type-I Censoring

DOI10.1080/03610918.2013.826363zbMath1327.62100OpenAlexW2083925921MaRDI QIDQ2943790

Alaa H. Abdel-Hamid, Essam K. AL-Hussaini

Publication date: 4 September 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.826363

zbMATH Keywords

simulationoptimality criteriageneralized Pareto distributionprogressive type-I censoringtampered failure rate modelmoments and probability weighted moments estimationsgraphical and maximum likelihood estimations

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Reliability and life testing (62N05)

Related Items (7)

Inference on a new distribution under progressive-stress accelerated life tests and progressive type-II censoring based on a series-parallel system ⋮ RECURRENCE RELATIONS OF MOMENTS OF THE KUMARASWAMY PARETO DISTRIBUTION BASED ON GENERAL PROGRESSIVELY TYPE-II RIGHT CENSORED ORDER STATISTICS AND CHARACTERIZATION ⋮ Reliability analysis for Weibull distribution with homogeneous heavily censored data based on Bayesian and least-squares methods ⋮ Characterization of the generalized Pareto distribution by general progressively type-II right censored order statistics ⋮ Inference and optimal design of multiple constant-stress testing for generalized half-normal distribution under type-II progressive censoring ⋮ Statistical inference for competing risks model in step-stress partially accelerated life tests with progressively type-I hybrid censored Weibull life data ⋮ Inferences for Weibull-exponential distribution based on progressive type-II censoring under step-stress partially accelerated life test model

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