BAYESIAN ANALYSIS OF LINEAR MODELS WITH TWO RANDOM COMPONENTS (WITH SPECIAL REFERENCE TO THE BALANCED INCOMPLETE BLOCK DESIGN).

Abstract

The paper considers linear models which contain two random components and enable representation of general designs with block effects random. It shows how, within a Bayesian framework, to combine the intra- and inter-block information about the location parameters. The balanced incomplete block design, an important special case, is considered in detail and illustrated by an example. A simple approximation to the marginal distribution of an individual contrast is also presented and illustrated.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1967
Accession Number
AD0650278

Entities

People

  • G. C. Tiao
  • N. R. Draper

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Bayesian Networks
  • Contrast
  • Mathematical Models
  • Mental Processes
  • Models
  • Perception

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference