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A Generalization of an SPRT for the Correlation Coefficient

 

作者: Girma Wolde-Tsadik,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1976)
卷期: Volume 71, issue 355  

页码: 709-710

 

ISSN:0162-1459

 

年代: 1976

 

DOI:10.1080/01621459.1976.10481552

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The sequential probability ratio tests (SPRT's) for the correlation coefficient, ρ, of a bivariate normal distribution proposed by Kowalski [3] and Pradhan and Sathe [4] reduce to SPRT's of a binomial parameter. These tests, respectively, require the sampling of one and two pairs of observations at each step of the sequential procedure. This article generalizes their SPRT's to that of samplingK(K= 1, 2, 3, …) pairs of observations at each step and compares the tests thereby generated.

 

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