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On the comparison of some non-negative estimators of variance components for two models

 

作者: Yogendra P. Chaubey,  

 

期刊: Communications in Statistics - Simulation and Computation  (Taylor Available online 1984)
卷期: Volume 13, issue 5  

页码: 619-633

 

ISSN:0361-0918

 

年代: 1984

 

DOI:10.1080/03610918408812401

 

出版商: Marcel Dekker, Inc.

 

关键词: negative estimates of variances;MINQUE;ASR;hetroscedastic variances;one way random effects model

 

数据来源: Taylor

 

摘要:

In this paper, the estimators , ASR (P.S.R.S. Rao and Chaubey (1978)), CMINQUE (Chaubey (1983)) and some other modifications of MINQUE similar to that of J.N.K. Rao and Subrahmaniam (1971) are considered for two models (i) The common mean model with heteroscedastic variances and (ii) One way random effects model. These estimators are compared respect to their biases and efficiencies through a Monte Carlo Study. For model (i) weighted means based on different estimators of variances are also compared.

 

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