On estimating the parameters of the Burr XII model under progressive type-I interval censoring

DOI10.1080/00949655.2017.1359600OpenAlexW2742708508MaRDI QIDQ5106993

Sukhdev Singh, Reza Arabi Belaghi, Mehri Noori Asl

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1359600

zbMATH Keywords

maximum likelihood estimationBayesian estimationHPD intervalSEM algorithmbalanced lossoptimal censoringinspection times

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (10)

Inference on a progressive type I interval-censored truncated normal distribution ⋮ bccp: an R package for life-testing and survival analysis ⋮ Bias corrected maximum likelihood estimators under progressive type-I interval censoring scheme ⋮ Estimation and prediction based on type-I hybrid censored data from the Poisson-Exponential distribution ⋮ Estimation procedures for Kumaraswamy distribution parameters under adaptive type-II hybrid progressive censoring ⋮ Inference for log‐location‐scale family of distributions under competing risks with progressive type‐I interval censored data ⋮ Statistical inference of exponentiated Pareto distribution under adaptive type-II progressive censored schemes ⋮ Unnamed Item ⋮ Estimation issues in the exponential-logarithmic model under hybrid censoring ⋮ Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution

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