The Efficient Use of Quality Control Data

The Efficient Use of Quality Control Data

by Kenneth W. Kemp
     
 


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 inevitable leads to right and wring conclusions. This book describes methods which can be used to control the frequency with which these occur. It… See more details below

Overview


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 inevitable leads to right and wring conclusions. This book describes methods 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. It begins by describing simple statistical decision rules which 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. It then illustrates improvements in the property of decision rules which can be achieved with appropriate choices of control rule parameters, test statistics and methods of control which selectively utilize information contained in the test data which is indicating that a change in quality level had occurred.

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Editorial Reviews

From the Publisher

"Accurate measurements in clinical and industrial testing are often not possible; when used to control quality, the measurements lead to some right and some wrong conclusions. Kemp (U. of Wales) discusses the inevitability of wrong decisions and control of the frequency with which they occur. He presents concepts of statistical theory and their application in simply designed control charts, along with the concepts of acceptable and rejectable levels, to form a simple model to establish principles and criteria for the design and operation of statistical control procedures. Written for clinical technicians and quality control engineers with a reasonable knowledge of mathematics."--SciTech Book News

"An accessible but very intelligent monograph on the statistics of quality control. Chapters 1 to 4 can nearly stand on their own as a first course in mathematical statistics."--Publication of the International Statistical Institute

Booknews
Accurate measurements in clinical and industrial testing are often not possible; when used to control quality, the measurements lead to some right and some wrong conclusions. Kemp (U. of Wales) discusses the inevitability of wrong decisions and control of the frequency with which they occur. He presents concepts of statistical theory and their application in simply designed control charts, along with the concepts of acceptable and rejectable levels, to form a simple model to establish principles and criteria for the design and operation of statistical control procedures. Written for clinical technicians and quality control engineers with a reasonable knowledge of mathematics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9780198536741
Publisher:
Oxford University Press, USA
Publication date:
06/29/2001
Series:
Institute of Mathematics and its Applications Monograph Series, #4
Pages:
272
Product dimensions:
5.90(w) x 9.00(h) x 0.80(d)

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