A Change-Point Model for a Shift in Variance

By K. Zamba, Douglas M. Hawkins. 2005

170 citations recorded by the source corpus.

Subfields: Medical Laboratory Technology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1171997f3f2a5dd00a51bc772575c492ec2beeeb

How researchers see this paper

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

In Medical Laboratory Technology

1. Zhaojun Wang
2. Jiujun Zhang
3. Chunguang Zhou
4. Fugee Tsung
5. Changliang Zou
6. Zhonghua Li

In Statistics and Probability

1. Changliang Zou
2. Fugee Tsung
3. Zhaojun Wang
4. Zhonghua Li
5. Jiujun Zhang
6. Yujuan Zhang
7. Chunguang Zhou
8. Yanfen Shang

Citations in the corpus

• Self-starting control chart for simultaneously monitoring process mean and variance (2010, methodology): “…MEW chart of Chen et al. (2001) (denoted MEW) and the ELR chart of Zhang et al. (2008) (denoted ELR) for rational subgroups n¼ 5, and the chart of Hawkins and Zamba (2005b) (denoted CP) based on the change-point model for individual observations using Monte Carlo simulation based on 10,000…”
• A Self-Starting Control Chart for Linear Profiles (2007, methodology): “For example, Hawkins and Zamba (2005b) suggested two conventional parametric tests, a two-sided F -test for detecting the changes in variance and an approximate t-test for detecting the changes in mean.”
• Nonparametric control chart based on change-point model (2009, background): “Self-starting methods, which update the parameter estimates with new observations and simultaneously check for the OC conditions, are developed for the situations when reference samples are sufficiently large to approximate control chart performance with the true parameters, such as Hawkins (1987), ”