Computer Generation of Bivariate Gamma Random Vectors.

Abstract

The use of bivariate gamma distributions in simulation modeling is considered. A family of algorithms is given, any member of which can be used to generate random bivariate vectors having any gamma marginal distributions and any theoretically possible correlation, both positive and negative. Computational considerations are discussed, including the selection of parameters to provide regression curves consistent with the modeler's needs. A modification which is easier to implement and provides most, but not all, correlations is also given. Finally the use of these algorithms to generate first order auoregressive time series is discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1979
Accession Number
ADA072407

Entities

People

  • Bruce W. Schmeiser
  • Ram Lal

Organizations

  • Southern Methodist University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Computers
  • Demographic Cohorts
  • Distribution Functions
  • Equations
  • Functions (Mathematics)
  • Integrals
  • Mathematics
  • Military Research
  • Monte Carlo Method
  • Nonlinear Programming
  • Normal Distribution
  • Operations Research
  • Probability
  • Random Variables
  • Simulations

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation