Joint monitoring of mean and variance using Max-EWMA for Weibull process-Reference-Cited by-同舟云学术

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Joint monitoring of mean and variance using Max-EWMA for Weibull process

Published:2021-06-06 Issue: Volume: Page:1-16
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Noor-ul-Amin Muhammad¹,Aslam Irfan²,Feroze Navid³

Affiliation:

1. Department of Statistics, COMSATS University Islamabad-Lahore Campus, Lahore, Pakistan

2. Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan

3. Department of Statistics, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan

Publisher

Informa UK Limited

Subject

Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2021.1931322

Reference20 articles.

1. Joint monitoring of mean and variance under double ranked set sampling using likelihood ratio test statistic

2. Joint monitoring of mean and variance using likelihood ratio test statistic with measurement error

3. A Mixed EWMA-CUSUM Control Chart for Weibull-Distributed Quality Characteristics

4. X̄andRControl Charts for Skewed Populations

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Memory type Bayesian adaptive max-EWMA control chart for weibull processes;Scientific Reports;2024-04-18

2. Memory type Max-EWMA control chart for the Weibull process under the Bayesian theory;Scientific Reports;2024-02-07

3. A novel Bayesian Max-EWMA control chart for jointly monitoring the process mean and variance: an application to hard bake process;Scientific Reports;2023-12-01

4. Proposed variable sampling interval maximum EWMA and distance EWMA charts with unknown process parameters;Stat;2023-01

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