Performance Monitoring When the Individual Contributing Variables are Unobserved
作者:
MarlinPaul G.,
期刊:
Journal of Quality Technology
(Taylor Available online 1982)
卷期:
Volume 14,
issue 3
页码: 153-161
ISSN:0022-4065
年代: 1982
DOI:10.1080/00224065.1982.11978808
出版商: Taylor&Francis
关键词: Estimation Involving Unobserved Variables;Performance Monitoring;Weighted Least Squares Regression
数据来源: Taylor
摘要:
A statistical procedure based on weighted least squares regression is derived for making inferences regarding mean values of several random variables when only sums of the random variables and the number of occurrences of each variable contributing to each sum are observed. The estimates of the mean values and their sampling distribution are discussed. The application of the procedure to the monitoring of time standards and an example, which is solved by means of a readily available statistical package, are also presented.
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