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A Monte Carlo Simulation Study of Analyses of Block Designs Under Correlated Errors Model

 

作者: P.S. Gill,  

 

期刊: Communications in Statistics - Simulation and Computation  （Taylor Available online 1990）
卷期: Volume 19, issue 1  

页码: 175-188

 

ISSN:0361-0918

 

年代: 1990

 

DOI:10.1080/03610919008812851

 

出版商: Marcel Dekker, Inc.

 

关键词: Correlated errors;Generalized least squares analysis;Level of significance;Randomized block design

 

数据来源: Taylor

 

摘要:

Interdependence among observations from adjacent plots in the field experimentation can be incorporated through generalized least squares (GLS) analysis. In this paper the estimation and testing under GLS analysis for randomized block designs have been discussed. Besides, the results of some Monte Carlo simulation experiments are presented. The simulation study was carried out to investigate

 

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