LOG-LINEAR REGRESSION.

Abstract

The paper presents a reparameterization of the conventional log-linear regression model. The Stochastic assumptions of this reparameterized model are derived from the expected value properties of the dependent variable. Comparison with the conventional method of fitting log-linear models shows the regression intercept and the variance of the regression intercept to be different. A t-test is proposed for the intercept. Also regression through the origin is treated briefly. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 18, 1966
Accession Number
AD0635884

Entities

People

  • Dale M. Heien

Organizations

  • George Washington University

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Contract Administration
  • Contracts
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Statistical Analysis

Readers

  • Regression Analysis.