THE USE OF PRIOR DISTRIBUTIONS IN THE DESIGN OF EXPERIMENTS FOR PARAMETER ESTIMATION IN NONLINEAR SITUATIONS: MULTIRESPONSE CASE.

Abstract

When prior information is available on the parameters of a nonlinear model, it should influence the choice of the appropriate experimental design. The authors investigate, for the multiresponse case, how prior information on the parameters in the form of a multivariate normal distribution can be used in selecting designs for parameter estimation. An example illustrates how the precision of the prior knowledge can affect the positioning of the design points. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1966
Accession Number
AD0640918

Entities

People

  • Norman Richard Draper
  • William G. Hunter

Organizations

  • University of Wisconsin–Madison

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Experimental Design
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Nonlinear Dynamics
  • Normal Distribution
  • Precision
  • Statistical Analysis

Fields of Study

  • Mathematics

Readers

  • Control Systems Engineering.
  • Regression Analysis.