Multivariate Statistical Methods for Total Quality Measurement

نویسنده

  • Carlo Lauro
چکیده

In this paper, a brief outline of the evolution of the statistical techniques for the measurement of quality is firstly sketched. At the same time, the need for multivariate procedures is justified from both methodological and application points of view and a proposal of non parametric control charts is shown. The attention is then focused on visualising and monitoring quality. The peculiar features of Non Symmetrical Data Analysis methods are shown to fit the demands arising when monitoring quality of multivariate industrial processes. Some research perspectives are finally enhanced.

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تاریخ انتشار 2000