The Efficient Use of Quality Control Data

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Clarendon Press, 2001 - Mathematics - 260 pages
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Accurate measurements in clinical and industrial testing are often not possible. Each measurement contains what can be regarded as containing an uncontrollable component of error. Their use to control quality therefore inevitably leads to right and wrong conclusions. This book describesmethods which can be used to control the frequency with which these occur. It describes recent developments which can be employed when very few control measurements can be taken due to limitations of cost or technical difficulty. The monograph begins by describing simple statistical decision ruleswhich were initially used to control the quality of industrial processes. These then form a basis on which to describe the concepts and practical consequences of the use of statistical quality control. Thereafter it proceeds to illustrate improvements in the property of decision rules which can beachieved with appropriate choices of control rule parameters, test statistics and methods of control which selectively utilise information contained in the test data which is indicating that a change in quality level has occurred.
 

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Contents

Some aspects of statistical quality control
3
Small samples Decisions and consequences
28
Distributions relevant to process and test control
53
Effective use of sampled data
92
Principles and criteria of statistical quality control
131
Better control rules
158
Really efficient use of test data
183
Bibliography
254
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About the author (2001)

Kenneth W. Kemp, Emeritus Professor, University of Wales.

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