CONTRIBUTIONS TO THE THEORY OF NUMERICAL SIMULATION.

Abstract

Recently there has been interest in the pattern recognition literature in multivariate generalizations of the Pearson Type 2 and Pearson Type 7 distributions. As yet methods for generating a random sample from these distributions have not appeared. Further, little has been done toward generating a random sample from the Wishart distribution. This report is aimed at providing efficient techniques for producing random samples of these types. Methods and supporting theory for generating random samples from these distributions are presented and discussed. Finally, two general approaches to problems in simulation of this general type are developed.

Document Details

Document Type
Technical Report
Publication Date
Jun 04, 1966
Accession Number
AD0485124

Entities

People

  • David R. Falconer
  • Patrick L. Odell

Organizations

  • University of Texas at Austin

Tags

DTIC Thesaurus Topics

  • Data Science
  • Identification
  • Information Science
  • Literature
  • Pattern Recognition
  • Recognition
  • Simulations
  • Statistical Samples

Readers

  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

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