Published 1982
| public
Journal Article
Exact and approximate distributions of the maximum likelihood estimator of a slope coefficient
- Creators
- Anderson, Theodore Wilbur
- Sawa, Takamitsu
Abstract
When the errors are normally independently distributed with equal variance, the maximum likelihood estimator of the slope of a linear functional relationship is the slope of the line minimizing the sum of squared deviations orthogonal to the line. The exact density and distribution of this estimator are obtained. Approximate distributions are obtained, and their accuracies are discussed.
Additional Information
© 1982 Royal Statistical Society. Received June 1980. Revised May 1981. This work was supported in part by National Science Foundation Grant SOC77-14944 and SES79-13976 at the Institute for Mathematical Studies in the Social Sciences, Stanford University, and in part by NSF Grant SOC76-22232. The first author was a Sherman Fairchild Distinguished Scholar at the California Institute of Technology when this paper was completed. The authors are indebted to Naoto Kunitomo for help in preparing this paper. Formerly SSWP 326.Additional details
- Eprint ID
- 83347
- Resolver ID
- CaltechAUTHORS:20171120-132429675
- SOC77-14944
- NSF
- SES79-13976
- NSF
- SOC76-22232
- NSF
- Created
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2017-11-20Created from EPrint's datestamp field
- Updated
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2019-10-03Created from EPrint's last_modified field