A bivariate fatigue-life regression model and its application to fracture of metallic tools

DOI10.1214/20-BJPS490zbMath1471.62488OpenAlexW3118640222MaRDI QIDQ2233643

Helton Saulo, Roberto Vila, Víctor Leiva, Jeremias Leão, Vera Lucia Tomazella

Publication date: 11 October 2021

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/20-bjps490

zbMATH Keywords

maximum likelihood methodbivariate Birnbaum-Saunders distributionpredictive modelsfatigue data

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Related Items (1)

On a length-biased Birnbaum-Saunders regression model applied to meteorological data

Uses Software

• R

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