A Model for Quadratic Outliers in Linear Regression / Janet Dixon Elashoff and Robert M. Elashoff.

This paper introduces a model for describing outliers (observations which are extreme in some sense or violate the apparent pattern of other observations) in linear regression which can be viewed as a mixture of a quadratic and a linear regression. The maximum likelihood estimators of the parameters...

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Bibliographic Details
Main Authors: Elashoff, Janet D.
Elashoff, Robert M. (Author)
Corporate Author: Stanford Univ., CA. Stanford Center for Research and Development in Teaching
Language:English
Published: [Place of publication not identified] : Distributed by ERIC Clearinghouse, 1970.
Subjects:
Correlation.
Mathematical Models.
Multiple Regression Analysis.
Research Methodology.
Statistical Analysis.
Statistical Data.
Outliers
Physical Description:55 pages
Format: Microfilm Book

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