On a new type of Birnbaum-Saunders models and its inference and application to fatigue data

DOI10.1080/02664763.2019.1668365OpenAlexW2978284817MaRDI QIDQ5861443

Reinaldo B. Arellano-Valle, Héctor W. Gómez, Víctor Leiva, Jaime Arrue

Publication date: 1 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1668365

zbMATH Keywords

Monte Carlo simulationmaximum likelihood methodskew-normal distributionR softwarecorrection of biasfatigue life data

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (4)

Bayesian Computation in a Birnbaum–Saunders Reliability Model with Applications to Fatigue Data ⋮ Inferences for multiple interval type-I censoring scheme ⋮ Unnamed Item ⋮ Editorial to special issue V WCDANM 2018

Uses Software

• R
• robustbase

Cites Work

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