Maximum Likelihood Estimation of the Survival Functions of Stochastically Ordered Random Variables.

Abstract

Many times populations exist which logically must satisfy a stochastic ordering requirement. Nevertheless, estimates of these populations may not bear out this stochastic ordering because of the inherent variability of the observations. This paper will consider the problem of finding maximum likelihood estimates of stochastically ordered survival functions for the cases (a) one survival being fixed in advance and (b) estimating both survival functions when the data includes censored observations. A numerical example is handled in detail to illustrate the solution to this problem. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1980
Accession Number
ADA083903

Entities

People

  • Richard L. Dykstra

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Discrete Distribution
  • Equations
  • Estimators
  • Intervals
  • Mathematical Analysis
  • Maximum Likelihood Estimation
  • Military Research
  • Notation
  • Numbers
  • Observation
  • Probability
  • Random Variables
  • Real Numbers
  • Survival

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Theoretical Analysis.