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Design of a sign chart using a new EWMA statistic

Published:2019-01-24 Issue:6 Volume:49 Page:1299-1310
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Aslam Muhammad¹,Ali Raza Muhammad²³,Azam Muhammad⁴,Ahmad Liaquat⁴,Jun Chi-Hyuck⁵

Affiliation:

1. Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia;

2. School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, P.R. China;

3. Department of Statistics, Government College University, Faisalabad, Pakistan;

4. Department of Statistics and Computer Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan;

5. Department of Industrial and Management Engineering, POSTECH, Pohang, Republic of Korea

Funder

Deanship of Scientific Research (DSR) at King Abdulaziz University

Samsung Electronics Company

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2018.1563163

Reference36 articles.

1. Enhancing the performance of EWMA charts

2. CS-EWMA Chart for Monitoring Process Dispersion

3. A new nonparametric EWMA sign control chart

4. A new nonparametric EWMA sign control chart

5. MDEWMA chart: an efficient and robust alternative to monitor process dispersion

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1. A nonparametric mixed exponentially weighted moving average-moving average control chart with an application to gas turbines;PLOS ONE;2024-08-13

2. Sensitivity of the Modified Exponentially Weighted Moving Average Sign-Rank Control Chart to Process Changes in Counted Data;WSEAS TRANSACTIONS ON MATHEMATICS;2024-05-15

3. Design and Analysis of Extended Exponentially Weighted Moving Average Signed-Rank Control Charts for Monitoring the Process Mean;Mathematics;2023-10-30

4. The two‐sided SPRT sign charts;Quality and Reliability Engineering International;2023-09-19

5. An enhanced design of nonparametric modified EWMA sign control chart using repetitive sampling;Brazilian Journal of Probability and Statistics;2023-09-01

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