A Bayesian Extended Exponentially Weighted Moving Average Control Chart
Author:
Affiliation:
1. Department of Statistics , Charuchandra College , Kolkata , India
2. Department of Statistics , [ 30190]Visva-Bharati University, Santiniketan , India
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Safety, Risk, Reliability and Quality,Statistics and Probability
Link
https://www.degruyter.com/document/doi/10.1515/eqc-2023-0021/pdf
Reference21 articles.
1. S. Abirami, S. Vijayasankar and S. Sasikala, Bayesian inference in control charts using normal prior, Int. J. Statist. Appl. Math. 8 (2022), no. 1, 22–25.
2. F. Alshahrani, I. M. Almanjahie, M. Khan, S. M. Anwar, Z. Rasheed and A. N. Cheema, On designing of Bayesian Shewhart-type control charts for Maxwell distributed processes with application of boring machine, Mathematics 11 (2023), no. 5, Article ID 1126.
3. M. Aslam and S. M. Anwar, An improved Bayesian modified-EWMA location chart and its applications in mechanical and sport industry, PLoS One 15 (2020), 10.1371/journal.pone.0229422.
4. S. V. Bhat and K. D. Gokhale, Posterior control chart for process average under conjugate prior distribution, Economic Qual. Control 29 (2014), no. 1, 19–27.
5. W. M. Bolstad, Introduction to Bayesian Statistics, 2nd ed., Wiley-Interscience, Hoboken, 2007.
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