Confidence intervals on the regression coefficient in a simple linear regression model with a balanced one-fold nestederror structure
作者:
Dong Joon Park,
Richard K Burdick,
期刊:
Communications in Statistics - Simulation and Computation
(Taylor Available online 1994)
卷期:
Volume 23,
issue 1
页码: 43-58
ISSN:0361-0918
年代: 1994
DOI:10.1080/03610919408813155
出版商: Marcel Dekker, Inc.
关键词: mixed model;inference
数据来源: Taylor
摘要:
In applications that utilize a linear regression model with nested error structure, interest often focuses on inferences concerning the regression coefficient. This article derives exact and approximate confidence intervals on the regression coefficient in the simple linear regression model with a balanced one-fold nested error structure. Several methods are considered for constructing the confidence intervals. The methods are compared using computer simulation and recommendations are provided for selecting an appropriate method
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