A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes

By Dong Han, Fugee Tsung. 2003

60 citations recorded by the source corpus.

Subfields: Management Information Systems, Statistics and Probability, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/ba7504ff541cc7ef9544d9f6e406bd52d221b0ed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

1. Kaibo Wang
2. Xijian Hu
3. Dong Han
4. Fugee Tsung

In Statistics and Probability

1. Changliang Zou
2. Fugee Tsung
3. Peihua Qiu
4. Kaibo Wang
5. Xijian Hu
6. Dong Han
7. Douglas M. Hawkins
8. Zhaojun Wang

In Strategy and Management

1. Kaibo Wang
2. Xijian Hu
3. Dong Han
4. Fugee Tsung

Citations in the corpus

• NONPARAMETRIC CONTROL CHART FOR MONITORING PROFILES USING CHANGE POINT FORMULATION AND ADAPTIVE SMOOTHING (2009, background): “, Hart (1997)). A uniformly most powerful test usually does not exist due to the fact that nonparametric regression functions have infinite dimensions. For the lack-of-fit testing problem, Horowitz and Spokoiny (2001) suggest choosing a single h based on the maximum of a studentized conditional mome”
• CUSUM and EWMA multi-charts for detecting a range of mean shifts (2007, methodology): “Also, by taking the maximum weighting parameter in the EWMA control chart, Han and Tsung (2004) proposed a generalized EWMA (GEWMA) control chart that does not depend on the reference value, and proved that the GEWMA control chart is better than the optimal EWMA in detecting a mean shift of any…”