The Efficient Use of Quality Control Data
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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Some aspects of statistical quality control
Small samples Decisions and consequences
Distributions relevant to process and test control
Effective use of sampled data
Principles and criteria of statistical quality control
Better control rules
Really efficient use of test data
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