Phase I Analysis of Linear Profiles With Calibration Applications

By Mahmoud A. Mahmoud, William H. Woodall. Technometrics, 2004

371 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/a8a22652e9e9a0d761a5aa9d6e08f41ccb634458

How researchers see this paper

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

In Control and Systems Engineering

In Statistics and Probability

Citations in the corpus

Distribution of Hotelling's T2 Statistic Based on the Successive Differences Estimator (2006, background): “In their simulation study, Mahmoud and Woodall (2004) found that UCLs based on this approach performed well, and we follow their suggestion here.”
Phase I monitoring of generalized linear model-based regression profiles (2015, methodology): “Mahmoud and Woodall [4] proposed an F approach for simple linear profile monitoring in Phase I.”
Statistical monitoring of nonlinear product and process quality profiles (2007, methodology): “For many calibration problems, the profile can be represented by a simple linear regression model (see, e.g., Mahmoud and Woodall [6] and Gupta, Montgomery, and Woodall [7]).”
A Self-Starting Control Chart for Linear Profiles (2007, methodology): “They concluded that, to detect both sustained and randomly occurring unsustained shifts, one could employ the change-point method in conjunction with the methods proposed by Mahmoud and Woodall (2004).”
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.”
A CUSUM-based method for monitoring simple linear profiles (2009, methodology): “Stover and Brill [15], Mahmoud and Woodall [10], Woodall et al.”
Phase II Monitoring of Nonlinear Profiles (2009, methodology): “( 1999 ), Kang and Albin ( 2000 ), Mahmoud and Woodall ( 2004 ), Montgomery ( 2005 , p.”
Monitoring Nonlinear Profiles with Random Effects by Nonparametric Regression (2009, background): “Another example of linear profiles regarding a calibration process was presented in Mahmoud and Woodall (2004).”
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.”
Monitoring Correlation Within Linear Profiles Using Mixed Models (2008, methodology): “We believe that the method of Mahmoud and Woodall (2004) could be improved by using the eblups from the LMM rather than by using the estimated coefficients from the separate simple linear regression models. This would ensure that the method works well if the data are unbalanced or missing. As anothe”
Profile Monitoring with Binary Data and Random Predictors (2011, background): “Studies focusing on simple linear profiles have been particularly common, for instance, Kang and Albin (2000), Kim et al. (2003), Mahmoud and Woodall (2004), Zou et al. (2006; 2007b), among several others.”
Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes (2007, methodology): “The simplest case of model (1), the straight-line regression model, was considered by Kang and Albin (2000), Kim et al. (2003), Mahmoud and Woodall (2004), and Mahmoud et al. (2007).”