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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