A new exponentially weighted moving average control chart to monitor count data with applications in healthcare and manufacturing-Reference-Cited by-同舟云学术

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A new exponentially weighted moving average control chart to monitor count data with applications in healthcare and manufacturing

Published:2023-06-08 Issue:18 Volume:93 Page:3308-3328
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Mustafa Fakhar¹²,Sherwani Rehan Ahmad Khan¹,Raza Muhammad Ali³

Affiliation:

1. College of Statistical Sciences, University of the Punjab, Lahore, Pakistan

2. Department of Mathematics, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan

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

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2023.2220859

Reference45 articles.

1. An Introduction to Discrete-Valued Time Series

2. The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives

3. Zero-inflated Conway-Maxwell Poisson Distribution to Analyze Discrete Data

4. Montgomery DC. Introduction to statistical quality control. Hoboken (NJ): Wiley; 2013.

5. Counted Data CUSUM's

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2. A two-stage monitoring scheme for multiple high-dimensional data streams;Journal of Statistical Computation and Simulation;2024-05-05

3. On Designing a New Control Chart Using the Generalized Conway–Maxwell–Poisson Distribution to Monitor Count Data;Processes;2024-03-28

4. Enhancing Control: Unveiling the Performance of Poisson EWMA Charts through Simulation with Poisson Mixture DATA;Applied Sciences;2023-10-11

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