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Confidence Curves: An Omnibus Technique for Estimation and Testing Statistical Hypotheses

 

作者: Allan Birnbaum,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1961)
卷期: Volume 56, issue 294  

页码: 246-249

 

ISSN:0162-1459

 

年代: 1961

 

DOI:10.1080/01621459.1961.10482107

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

A standard practice of physical scientists is to report estimates (“measurements”) accompanied by their standard errors (or alternatively “average errors” or “probable errors”). Such reports are interpreted flexibly as appropriate in various contexts of application. With the usual normality assumption, such reports may be read as representing confidence intervals or limits at the various confidence levels, and this omnibus character largely accounts for the convenience and flexibility of such reports and interpretations. For estimators not normally distributed, a formal analogue of such reports is provided byconfidence curves, which are estimates of an omnibus form incorporating confidence intervals and limits at various levels. The definition and computation of such estimates, and their graphical representation and interpretation, are discussed and illustrated by an example.

 

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