Robust multivariate control charts based on Birnbaum–Saunders distributions

DOI10.1080/00949655.2017.1381699OpenAlexW2761334633MaRDI QIDQ4960532

Víctor Leiva, Shuangzhe Liu, Carolina Marchant, Francisco José A. Cysneiros

Publication date: 23 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2017.1381699

zbMATH Keywords

Monte Carlo simulationmaximum likelihood methodbootstrappingMahalanobis distanceaverage run lengthHotelling statisticmultivariate non-normal distributions

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (12)

On a new mixture-based regression model: simulation and application to data with high censoring ⋮ Estimation based on ranked set sampling for the two-parameter Birnbaum–Saunders distribution ⋮ Optimal design of repetitive group sampling plans for Weibull and gamma distributions with applications and comparison to the Birnbaum–Saunders distribution ⋮ [Invited tutorial Birnbaum–Saunders regression models: a comparative evaluation of three approaches] ⋮ A robust class of multivariate fatigue distributions based on normal mean-variance mixture model ⋮ On mean-based bivariate Birnbaum-Saunders distributions: Properties, inference and application ⋮ Unnamed Item ⋮ Multiple dependent state repetitive sampling-based control chart for Birnbaum-Saunders distribution ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications ⋮ Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel multivariate data analytics for an economics example in the textile industry ⋮ A compound exponential distribution with application to control charts ⋮ On a new type of Birnbaum-Saunders models and its inference and application to fatigue data

Uses Software

• R

Cites Work

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