Antistarshapedness, Dispersiveness and Mixtures.

Abstract

Necessary and sufficient conditions are given for certain classes of distributions to be closed under mixtures. The relevant classes are defined in terms of antistarshapedness or dispersiveness. One of the main results characterizes distributions with log concave densities. A basic tool in the analysis of univariate survival data is the quantile plot. Originator supplied keywords include: Mixture, quantile plots, antistarshaped, dispersive, log concave.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 1985
Accession Number
ADA155583

Entities

People

  • J. Lynch

Organizations

  • Pennsylvania State University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Contracts
  • Convolution
  • Discrete Distribution
  • Dispersions
  • Intervals
  • Mathematical Analysis
  • Mathematics
  • Measure Theory
  • Military Research
  • Pennsylvania
  • Random Variables
  • Security
  • Statistics
  • Theorems
  • Universities

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Statistical inference.