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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