Generalized interval estimation for the Birnbaum-Saunders distribution

DOI10.1016/J.CSDA.2012.03.023zbMath1255.62077OpenAlexW2002397075MaRDI QIDQ1927215

Bing Xing Wang

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.03.023

zbMATH Keywords

Monte Carlo simulationcoverage probabilitygeneralized confidence interval

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Monte Carlo methods (65C05)

Related Items (14)

Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm ⋮ The exponentiated generalized Birnbaum-Saunders distribution ⋮ Confidence intervals for the variance and difference of variances of Birnbaum-Saunders distributions ⋮ Fast Bayesian inference for Birnbaum-Saunders distribution ⋮ Inference for the common mean of several Birnbaum–Saunders populations ⋮ A new statistical inference method for multi-stress accelerated life testing based on random variable transformation ⋮ Interval estimation for the shape and scale parameters of the Birnbaum-Saunders distribution ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications ⋮ Confidence interval estimation by a joint pivot method ⋮ A new extended Birnbaum-Saunders regression model for lifetime modeling ⋮ Comparison of several Birnbaum–Saunders distributions ⋮ Robust inference for Birnbaum–Saunders regressions ⋮ Fiducial inference for Birnbaum-Saunders distribution ⋮ Unnamed Item

Cites Work

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