Some Aspects of Bivariate Regression Subject to Linear Constraints.

Abstract

This paper considers a two-equation linear model when a subset of the parameters in one of the equation is subject to zero constraints. Inference procedures are presented both in the Bayesian and sampling theory framework. Specifically, posterior distributions and confidence distributions of the parameters, as well as various test procedures, are derived and illustrated with examples. The effect of the xero constraints on these procedures are discussed, and a comparison of the Bayesian with the sampling results is given.

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1975
Accession Number
ADA024255

Entities

People

  • G. C. Tiao
  • W. Y. Tan
  • Y. C. Chang

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Behavior And Behavior Mechanisms
  • Behavioral Disciplines And Activities
  • Behavioral Sciences
  • Collecting Methods
  • Cooperation
  • Equations
  • Group Dynamics
  • Mathematics
  • Sampling

Fields of Study

  • Mathematics

Readers

  • Fluid Mechanics and Fluid Dynamics.
  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms