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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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