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August 2010 The construction of the uniformly minimum variance unbiased estimator
Kim Hyo Gyeong
Tsukuba J. Math. 34(1): 47-58 (August 2010). DOI: 10.21099/tkbjm/1283967407

Abstract

For a one-parameter exponential family of distributions, a method to find the uniformly minimum variance unbiased (UMVU) estimator based on the complete sufficient statistic is given in Jani and Dave [1] by change of the expression of the unbiasedness condition. But, it heavily depends on the concrete form of the distribution of the statistic in obtaining indeed the UMVU estimator. In this paper, from the different point of view, the construction of the UMVU estimator for a one-parameter exponential families of distributions and certain two-parameter family of distributions is discussed. Some examples are also given.

Citation

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Kim Hyo Gyeong. "The construction of the uniformly minimum variance unbiased estimator." Tsukuba J. Math. 34 (1) 47 - 58, August 2010. https://doi.org/10.21099/tkbjm/1283967407

Information

Published: August 2010
First available in Project Euclid: 8 September 2010

zbMATH: 1195.62017
MathSciNet: MR2723723
Digital Object Identifier: 10.21099/tkbjm/1283967407

Subjects:
Primary: 62B05 , 62F10

Keywords: Complete sufficient statistic , exponential family of distributions , uniformly minimum variance unbiased estimator

Rights: Copyright © 2010 University of Tsukuba, Institute of Mathematics

Vol.34 • No. 1 • August 2010
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