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Multivariate Total Quality Control: Foundation and Recent Advances

✍ Scribed by Jaromír Antoch, Marie Hušková, Daniela Jarušková (auth.), Professor Carlo Lauro, Professor Jaromir Antoch, Dr. Vincenzo Esposito Vinzi, Professor Gilbert Saporta (eds.)

Publisher
Physica-Verlag Heidelberg
Year
2002
Tongue
English
Leaves
246
Series
Contributions to Statistics
Edition
1
Category
Library
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✦ Synopsis

The major focus of the book is on using the methods suitable for an on-line and off-line process control both in the univariate and multivariate case. The authors do not only concentrate on the standard situation when the errors accompanying the observed process are normally distributed, but also describe in detail the more general situations that call for the use of the robust and non-parametric approaches. Within these approaches, the use of recent methods of the multivariate analysis in the total quality control is enhanced with particular reference to the customer satisfaction area, the monitoring of interval data and the comparison of patterns generated from multioccasion observations. The authors cover both pratical computational aspects of the problem and the necessary mathematical background, taking into account requirements of total quality control.

✦ Table of Contents

Front Matter....Pages i-xiii
Off-Line Statistical Process Control....Pages 1-86
On-Line Statistical Process Control....Pages 87-124
Multivariate Control Charts for Complex Processes....Pages 125-136
Multidimensional Methods for Statistical Process Control: Some Contributions of Robust Statistics....Pages 137-162
Parametric and Non Parametric Multivariate Quality Control Charts....Pages 163-189
Non-Symmetrical Exploratory Comparative Analysis....Pages 191-220
The Non-Symmetrical Analysis of Multiattribute Preference Data....Pages 221-236

✦ Subjects

Statistics for Business/Economics/Mathematical Finance/Insurance; Business/Management Science, general; Control, Robotics, Mechatronics

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