MISSING VALUES IN MULTIVARIATE STATISTICS. II. POINT ESTIMATION IN SIMPLE LINEAR REGRESSION.

Abstract

In this paper, the authors study the probabilistic behavior of several ways to estimate the linear regression function between two random variables. They derive the mean square error of prediction for each method of estimation. Tables are given to characterize in terms of the correlation coefficient those situations where a given method has smaller mean square error than its competitors.

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1965
Accession Number
AD0626851

Entities

People

  • A. A. Afifi
  • R. M. Elashoff

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • California
  • Coefficients
  • Computing-Related Activities
  • Cooperation
  • Correlation Analysis
  • Correlation Techniques
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Random Variables
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.