Inference for Weibull distribution under adaptive Type-I progressive hybrid censored competing risks data

DOI10.1080/03610926.2015.1083111zbMath1462.62120OpenAlexW2399677794MaRDI QIDQ5351723

Samir K. Ashour, M. M. A. Nassar

Publication date: 30 August 2017

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1083111

zbMATH Keywords

maximum likelihood estimationMarkov chain Monte CarloWeibull distributionBayesian estimationcompeting risksadaptive type-I progressive hybrid censoring scheme

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Censored data models (62N01) Statistical tables (62Q05)

Related Items (5)

A Competing Risk Model Based on a Two-Parameter Exponential Family Distribution Under Progressive Type II Censoring ⋮ Estimations of competing lifetime data from inverse Weibull distribution under adaptive progressively hybrid censored ⋮ A competing risk study of menarcheal age distribution based on non-recall current status data ⋮ Inference of progressively type-II censored competing risks data from Chen distribution with an application ⋮ Statistical analysis of competing risks model from Marshall–Olkin extended Chen distribution under adaptive progressively interval censoring with random removals

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