A Multistep, Cluster-Based Multivariate Chart for Retrospective Monitoring of Individuals
| Type of Publication: | Journal article |
| Author: | Jobe, J. Marcus; Pokojovy, Michael |
| Year of publication: | 2009 |
| Published in: | Journal of Quality Technology ; 41 (2009), 4. - pp. 323-339 |
| Summary: |
The presence of several outliers in an individuals retrospective multivariate control chart distorts both the sample mean vector and covariance matrix, making the classical Hotelling's T^2 approach unreliable for outlier detection. To overcome the distortion or masking, we propose a computer-intensive multistep cluster-based method. Compared with classical and robust estimation procedures, simulation studies show that our method is usually better and sometimes much better at detecting randomly occurring outliers as well as outliers arising from shifts in the process location. Additional comparisons based on real data are given.
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| Subject (DDC): | 310 Statistics |
| Controlled Keywords (GND): | Dichtebasiertes Clusterverfahren, Kernschätzung, Ausreißer <Statistik> |
| Keywords: | Bruchpunkt, Mahalanobis-Distanz, Gleitende Mittelwert und Medoid, breakdown point, cluster analysis, kernel estimation, Mahalanobis distance, moving average and medoid |
| Bibliography of Konstanz: | Yes |
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JOBE, J. Marcus, Michael POKOJOVY, 2009. A Multistep, Cluster-Based Multivariate Chart for Retrospective Monitoring of Individuals. In: Journal of Quality Technology. 41(4), pp. 323-339
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