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Screening Outliers in Process Control Regression Data with Uniform Residuals, II

Summary: Methods for screening outliers in univariate normal data using uniform residuals obtained from conditional probability integral transformations (CPIT's) were proposed in an earlier paper by the author. The methods of that paper are here extended to screen outliers in normal regression process data by using the corresponding CPIT uniform residuals from the normal regression model. As for univariate data, the exact distribution theory of these statistics allows a precise control of the number of cases incorrectly rejected when the data are generated by a regression model with independent normal errors, at least when the outlier contamination rate is not excessive.

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  • Topics: Statistical Process Control (SPC), Statistics
  • Keywords: Outliers,Process control,Statistics,Screening,Regression
  • Author: Quesenberry, Charles P.
  • Journal: Journal of Quality Technology