A consistent data model for different data granularity in control charts
Author:
Affiliation:
1. Department of Statistics, Brigham Young University, Provo, Utah, USA
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/08982112.2022.2042700
Reference22 articles.
1. Robustness of Forecast-Based Monitoring Schemes
2. Design of Exponentially Weighted Moving Average Control Charts for Autocorrelated Processes With Model Uncertainty
3. Robustness Comparison of Exponentially Weighted Moving-Average Charts on Autocorrelated Data and on Residuals
4. The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes
5. Introduction to Time Series and Forecasting
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1. Development of robust X‐bar charts with unequal sample sizes;Quality and Reliability Engineering International;2023-06-28
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