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Journal ArticleDOI

Robust multivariate control charts based on Birnbaum–Saunders distributions

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TLDR
In this article, a robust methodology using multivariate quality control charts for subgroups based on generalized Birnbaum-Saunders distributions and an adapted Hotelling statistic is proposed for Phases I and II of control charts.
Abstract
Multivariate control charts are powerful and simple visual tools for monitoring the quality of a process. This multivariate monitoring is carried out by considering simultaneously several correlated quality characteristics and by determining whether these characteristics are in control or out of control. In this paper, we propose a robust methodology using multivariate quality control charts for subgroups based on generalized Birnbaum–Saunders distributions and an adapted Hotelling statistic. This methodology is constructed for Phases I and II of control charts. We estimate the corresponding parameters with the maximum likelihood method and use parametric bootstrapping to obtain the distribution of the adapted Hotelling statistic. In addition, we consider the Mahalanobis distance to detect multivariate outliers and use it to assess the adequacy of the distributional assumption. A Monte Carlo simulation study is conducted to evaluate the proposed methodology and to compare it with a standard method...

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Citations
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Journal ArticleDOI

Birnbaum‐Saunders distribution: A review of models, analysis, and applications

TL;DR: In this article, the authors provide a detailed review of all these developments and at the same time indicate several open problems that could be considered for further research, while also providing a detailed discussion of some open problems.
Journal ArticleDOI

Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data

TL;DR: In this paper, the authors examined a Birnbaum-Saunders spatial regression model and derived global and local diagnostic methods to assess the influence of atypical observations on the maximum likelihood estimates of its parameters.
Posted Content

Birnbaum-Saunders Distribution: A Review of Models, Analysis and Applications

TL;DR: In this article, the authors provide a detailed review of all these developments and at the same time indicate several open problems that could be considered for further research, while also providing a detailed discussion of some open problems.
References
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Book

Continuous univariate distributions

TL;DR: Continuous Distributions (General) Normal Distributions Lognormal Distributions Inverse Gaussian (Wald) Distributions Cauchy Distribution Gamma Distributions Chi-Square Distributions Including Chi and Rayleigh Exponential Distributions Pareto Distributions Weibull Distributions Abbreviations Indexes
Book

The Bootstrap and Edgeworth Expansion

Peter Hall
TL;DR: In this paper, the authors present a non-Edgeworth view of the Bootstrap and propose a method of importance sampling for estimating bias, variance, and skewness.
Book

Symmetric Multivariate and Related Distributions

TL;DR: In this article, the authors define marginal distributions, moments and density marginal distributions moments density the relationship between (phi and f) conditional distributions properties of elliptically symmetric distributions mixtures of normal distributions robust statistics and regression model robust statistics regression model log-elliptical and additive logistic elliptical distributions multivariate log elliptical distribution additive logistics elliptical distribution complex elliptical symmetric distribution.
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