CORANUM: A Program to Generate Correlated Gaussian Random Numbers.

Abstract

Research on intuitive inference and multiple-cue probability learning aims to study the adaptation of a decision maker to the probabilistic structure of his environment. In some cases, it is desirable to study the judge in a representative environment that embodies the relationships with which he is accustomed to dealing. In other words, it is important to vary the statistical structure according to a systematic plan. The present program was developed to provide stimuli for such experiments. It will provide up to 10 vectors of Gaussian numbers having predetermined means, standard deviations, and intercorrelations. The correlations produced match the specifications exactly, as opposed to representing a sample from a specified population. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1971
Accession Number
AD0727159

Entities

People

  • William Chaplin

Organizations

  • Oregon Research Institute

Tags

DTIC Thesaurus Topics

  • Data Science
  • Environment
  • Information Science
  • Learning
  • Mathematics
  • Probability
  • Specifications
  • Standards

Readers

  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference