Estimation of Multivariate Binary Density Using Orthonormal Functions.

Abstract

In a number of situations, the experimenter is confronted with the statistical analysis of the data which is binary in nature. For example, one may be interested in diagnosis of the disease on the basis of symptoms. The reliability of complicated systems can be studied by examining as to whether its components are functioning or not. In image processing, a picture is classified on the basis of two grey levels like white and black using some threshold value. We may assign a score of 1 or 0 according as the grey level is white or black respectively. So, it is important to study the problems of estimation of multivariate binary density. Cencov expressed continuous multivariate density as a series of orthonormal functions. Bahadur expressed the multivariate binary density as a series. Ott and Kronmal expressed the density as a series involving Walsh functions. Liang and Krishnaiah also expressed the density in terms of Walsh functions but the coefficients in their series are different from those used by Ott and Kronmal. This paper is a continuation of the work done by Liang and Krishnaiah.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA186386

Entities

People

  • Paruchuri R. Krishnaiah
  • W. Q. Liang
  • X. R. Chen

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Contracts
  • Estimators
  • Governments
  • Image Processing
  • Multivariate Analysis
  • National Governments
  • Random Variables
  • Scientific Research
  • Statistical Analysis
  • Two Dimensional
  • United States Government
  • Universities
  • Walsh Functions

Fields of Study

  • Mathematics

Readers

  • Educational Psychology
  • Image Processing and Computer Vision.
  • Regression Analysis.