Transcription of Chapter 3 High Breakdown Estimation for Multivariate SPC Data
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Chapter 3 High Breakdown Estimation for Multivariate SPC Data
Chapter 3 High Breakdown Estimation forMultivariate SPC DataRobust Estimation methods for univariate quality control data (such as those based on amedian or trimmed mean) are straightforward and have received attention in past research(Rocke, 1989; Rocke, 1992; Tatum, 1997; de Mast and Roes, 2004;Davis and Adams, 2005).Robust methods for Multivariate data are not as straightforward, nor as easily Estimation methods have been widely used in a regression context but they haveonly recently been introduced to Multivariate quality control applications. Because of thedifferences that can result from competing methods, the choice of which robust estimator touse has not been made clear from previous studies (Wisnowski, Simpson, and Montgomery,2002; Vargas, 2003).
Chapter 3 High Breakdown Estimation for ... Robust methods for multivariate data are not as straightforward, nor as easily implemented. Robust estimation methods have been widely used in a regression context but they have ... the probability of a signal should be close to a specified nominal value. When data come
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