A change point method for linear profile data

By Mahmoud A. Mahmoud, P. Parker, William H. Woodall, Douglas M. Hawkins. Quality and Reliability Engineering International, 2007

330 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/1445e17b8369b29387c47aaaa2d550c73ca30f21

How researchers see this paper

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

In Statistics and Probability

Citations in the corpus

Phase I monitoring of generalized linear model-based regression profiles (2015, methodology): “[5] proposed a change point method for monitoring simple linear profiles in Phase I.”
Current research on profile monitoring (2007, methodology): “In particular, Kazemzadeh et al. (2007a) compared the F-statistic method of Mahmoud and Woodall (2004), the change-point method of Mahmoud et al. (2007), and a method based on T2 statistics for detecting a step shift in the regression parameters.”
Phase II Monitoring of Nonlinear Profiles (2009, methodology): “Mahmoud et al. (2007) and Zou et al. (2006) proposed control charts based on a change-point model for monitoring the linear profiles.”
Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014, methodology): “Change-point methods are frequently applied in a single analysis of the Phase I data, an approach taken by Mahmoud et al. (2007).”
NONPARAMETRIC CONTROL CHART FOR MONITORING PROFILES USING CHANGE POINT FORMULATION AND ADAPTIVE SMOOTHING (2009, unknown): “(2004), Zou, Zhang and Wang (2006), and Mahmoud et al. (2007) , among sev-”
Phase I Monitoring of Polynomial Profiles (2008, methodology): “( 2007 ) proposed methods based on likelihood ratio statistics to monitor linear profiles in Phases I and II, respectively.”
Monitoring polynomial profiles in quality control applications (2009, methodology): “[8] proposed methods based on likelihood ratio statistics to monitor simple linear profiles in phases II and I, respectively.”
Monitoring Correlation Within Linear Profiles Using Mixed Models (2008, background): “Stover and Brill (1998); Kang and Albin (2000); Kim, Mahmoud, and Woodall (2003); Mahmoud and Woodall (2004); Wang and Tsung (2005); Gupta, Montgomery, and Woodall (2006); and Mahmoud et al. (2007) all considered monitoring of linear profiles.”
Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes (2007, methodology): “Based on the changepoint model, Mahmoud et al. (2007) gave a likelihood ratio test (LRT) statistic for linear profiles in phase I.”
A Self-Starting Control Chart for Linear Profiles (2007, methodology): “In Mahmoud et al. (2007), a method of decomposing the likelihood ratio statistic into three parts was introduced to enhance the ability of their change-point approach in detecting where the shift occurred.”
A CUSUM-based method for monitoring simple linear profiles (2009, unknown): “[9] and Zou et al.”
CONTROL CHART FOR MONITORING NONPARAMETRIC PROFILES WITH ARBITRARY DESIGN (2009, background): “See, for instance, Kang and Albin (2000), Kim et al. (2003), Mahmoud and Woodall (2004), Zou et al. (2006) (2007b), and Mahmoud et al. (2007), among several others.”
The monitoring of simple linear regression profiles with two observations per sample (2010, methodology): “[10], provides valuable information to process engineers concerning the source of profile variation.”