Monitoring Multinomial Processes

Article

Marcucci, Mark   (1985, ASQC)   University of South Carolina

Journal of Quality Technology    Vol. 17    No. 2
QICID: 5524    April 1985    pp. 86-91
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Article Abstract

Suppose a process produces items each of which may be classified on the basis of quality into mutually exclusive categories. Two classes of procedures are proposed to monitor such processes. The first uses a Pearson x2 statistics; the second depends upon the multinomial distribution and is useful when only increases in all but one category are of interest. Some statistical properties of these procedures are given, as well as an example of their use.

Keywords

Statistics,Average run length (ARL),Chi-square statistics,Control charts,Statistical methods


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