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Monitoring linear profiles using multivariate control chart in presence of outliers

Author: 
Prakash S. Chougule
Subject Area: 
Social Sciences and Humanities
Abstract: 

The method ordinary least square is widely used for parameter estimation in regression, if the outliers are present in data then then OLS provides insignificant results and it is not robust to outlier. To overcome this problem, many researchers have proposed several alternative parameter estimation methods based on m-estimation in regression. The purpose of this study is, to compare the performance of multivariate control chart based on various non robust as well as robust parameter estimation procedures. The performance of these control charts are evaluated to simulation study

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