Computer Optimization for the Mixed Analysis of Variance Model Using Maximum Likelihood.

Abstract

The W transformation, a matrix transformation, is developed and applied for the mixed analysis of variance model to compute maximum likelihood estimates of the variance components and fixed parameters. This transformation not only eliminates the need for the explicit computation of the n x n inverse matrix 1/H but permits handling the iterative calculations such that they do not depend upon n (the number of observations) in any way. Although not wedded to a particular numerical method, the W transformation is implemented in conjunction with a modified Newton-Raphson method in which variance components are restricted to being non-negative. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1972
Accession Number
AD0747262

Entities

People

  • Herman Otto Hartley
  • W. J. Hemmerle

Organizations

  • Texas A&M University

Tags

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Computations
  • Computers
  • Data Science
  • Information Science
  • Mathematical Analysis
  • Mathematics
  • Observation
  • Optimization

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Linear Algebra
  • Regression Analysis.