Constructing Uniformly Better Estimators
作者:
Vanamamalai Seshadri,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1963)
卷期:
Volume 58,
issue 301
页码: 172-175
ISSN:0162-1459
年代: 1963
DOI:10.1080/01621459.1963.10500839
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A new way of constructing uniformly better estimators (in the sense of minimum variance) from two independent unbiased estimators is presented. The problem of weighting estimators, when the ratio of their variances is unknown, is not straightforward. Yet this problem is particularly important in the recovery of inter-block information in balanced incomplete blocks. The theorem given in this paper suggests a simple method of constructing “better” estimators. The theorem has application in the analysis of balanced incomplete block designs; an example is given.
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