The Derivation of a Multivariate Probability Density Function Having an Exponential-Type Bivariate Marginal Density.

Abstract

For the calculation of electromagnetic scattering from rough terrain, relations have been established between the scattering cross section and the statistical characterization of the surface. These relations are based on the assignment of a bivariate probability density to the observed surface heights at any two points of a region. To implement a scattering calculation in a region, joint probability density functions that will reduce to appropriate bivariate marginal densities are associated with the distribution of heights in the area. In some instances, however, the required form of the multivariate probability density is not evident, since the original form is not necessarily preserved as successive marginal densities are formed. This report describes the procedures used to determine the multivariate probability density function that reduces to the particular bivariate exponential marginal density form having a known correspondence to electromagnetic scattering. Expressions are given both for the multivariate probability density and for the associated marginal densities of any order. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1980
Accession Number
ADA091110

Entities

People

  • John F. Lennon

Organizations

  • Rome Laboratory

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Bessel Functions
  • Covariance
  • Data Science
  • Electromagnetic Scattering
  • Information Science
  • Integrals
  • New York
  • Probability
  • Probability Density Functions
  • Scattering
  • Statistical Analysis
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Computer Vision.
  • Radar Systems Engineering.
  • Statistical inference.