Multivariate Regression Estimation Based on the Maximum Likelihood Principle.

Abstract

To estimate the population mean, Y bar, of a variate y a simple random sample of observations on y and several concomitant variables with known population means is considered. An approximation to the maximum likelihood estimator of Y bar is obtained and it is seen to be similar to the customary regression estimator. The result is a multivariate generalization of an earlier result due to Hartley and Rao (1968). (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1971
Accession Number
AD0725491

Entities

People

  • Herman Otto Hartley
  • K. S. E. Jayatillake

Organizations

  • Texas A&M University

Tags

DTIC Thesaurus Topics

  • Data Science
  • Estimators
  • Information Science
  • Mathematics
  • Observation
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Samples
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.