Missing Observations in Multivariate Statistics II. Point Estimation in Simple Linear Regression
作者:
A.A. Afifi,
R.M. Elashoff,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1967)
卷期:
Volume 62,
issue 317
页码: 10-29
ISSN:0162-1459
年代: 1967
DOI:10.1080/01621459.1967.10482884
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
We define and evaluate some simple estimators of the linear regression function ofyandx, when observations may be missing onyorx.In particular, we compare the zero order estimator, a modified zero order estimator, and mixed estimators relative to the least squares estimator using the ratio of expected mean square errors as our measure of efficiency. Illustrative tables are given to support our conclusions regarding the estimator of choice.
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