Balanced Repeated Replications for Standard Errors
作者:
Leslie Kish,
MartinR. Frankel,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1970)
卷期:
Volume 65,
issue 331
页码: 1071-1094
ISSN:0162-1459
年代: 1970
DOI:10.1080/01621459.1970.10481145
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Balanced repeated replications (BRR) is a general method for computing standard errors. It is useful when mathematical distribution theory is impractical or lacking, and especially for analytical statistics based on complex samples where clustering destroys the independence of observations. Presented are results of methods used to measure standard errors of regression coefficients for several multivariate techniques. The basic designs of the several samples comprised two primary selections (PS) per stratum.
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