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Some Estimators in Sampling with Varying Probabilities without Replacement

 

作者: Des Raj,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1956)
卷期: Volume 51, issue 274  

页码: 269-284

 

ISSN:0162-1459

 

年代: 1956

 

DOI:10.1080/01621459.1956.10501326

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The problem considered is estimation of the total value of a character for a finite population from a sample when the units are selected with varying probabilities without replacement. Several unbiased estimators are proposed. Exact expressions and unbiased estimators for the variances of the estimators are obtained. Certain properties of Yates and Grundy's estimator of variance are proved. Examples are included to study the relative performance of the various estimators. The results obtained for unistage sampling in the first part of the paper are extended to multistage designs in the second part.

 

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