Bias-Corrected Maximum Likelihood Estimation and Bayesian Inference for the Process Performance Index Using Inverse Gaussian Distribution

Bias-Corrected Maximum Likelihood Estimation and Bayesian Inference for the Process Performance Index Using Inverse Gaussian Distribution

In this study, the estimation methods of bias-corrected maximum likelihood (BCML), bootstrap BCML (B-BCML) and Bayesian using Jeffrey’s prior distribution were proposed for the inverse Gaussian distribution with small sample cases to obtain the ML and Bayes estimators of the model parameters and the...

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Bibliographic Details
Main Authors: Tzong-Ru Tsai, Hua Xin, Ya-Yen Fan, Yuhlong Lio
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Stats
Subjects:
Bayesian estimation
bootstrap method
maximum likelihood estimation
process capability analysis
process performance index
Online Access:https://www.mdpi.com/2571-905X/5/4/64

Internet

https://www.mdpi.com/2571-905X/5/4/64

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