The Construction of Algorithms for the Efficient Estimation of Multivariate Probability Densities.

Abstract

Techniques have been proposed for estimating probability densities nonparmetrically. These include penalized maximum likelihood, series, fixed kernel and nearest neighbour procedures. Special attention was to the two and three dimensional cases. A databased random number generator for arbitrarily high dimensions was also developed and applied to ballistics data at Aberdeen Proving Ground. A number of biomedical applications were proposed for the related problem of the nonparametric estimation of intervals using cancer data. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 20, 1982
Accession Number
ADA110766

Entities

People

  • James R. Thompson

Organizations

  • Rice University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Breast Cancer
  • Cancer
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Sets
  • Diseases And Disorders
  • Generators
  • Military Research
  • Neoplasms
  • Parametric Analysis
  • Probability
  • Probability Distributions
  • Random Number Generators
  • Three Dimensional
  • Two Dimensional

Readers

  • Military Science and Technology Research and Modernization.
  • Statistical inference.

Technology Areas

  • Biotechnology