A Central Limit Theorem for Assessing Average Quality
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 1 April 1989
Abstract
How to describe, reliably and effectively, the quality of a continuous stream is a problem facing many companies in the chemical industry. The average quality estimated from an average of individual test sample values is most useful if its distribution is known or can be estimated. A simple extension of the Central Limit Theorem is given that provides a means of estimating the distribution which, when coupled with the variogram method of variance estimation of Saunders et al., enables the calculation of probabilities of closeness of lot mean to the nominal value. The result “sits well” with the current emphasis being placed on the importance of “conformance to target”.
Keywords
Citation
Barnett, N.S. (1989), "A Central Limit Theorem for Assessing Average Quality", International Journal of Quality & Reliability Management, Vol. 6 No. 4. https://doi.org/10.1108/02656718910134403
Publisher
:MCB UP Ltd
Copyright © 1989, MCB UP Limited