On Selection Rules for Finite Mixtures of Distributions,

Abstract

A class of consistent selection procedures is proposed for the selection of the t largest proportions of finite mixture of distributions. The approach is based on the indifference zone formulation. Some asymptotic optimal properties are shown to hold. For special case of m = 2, the number of components in each of k mixture populations, some results of the asymptotic relative efficiency are obtained. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1977
Accession Number
ADA045106

Entities

People

  • Shanti Gupta
  • Wen-tao Huang

Organizations

  • Purdue University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Age Groups
  • Consistency
  • Data Science
  • Discrete Distribution
  • Distribution Functions
  • Information Science
  • Least Squares Method
  • Military Research
  • Normal Distribution
  • Observation
  • Order Statistics
  • Probability
  • Random Variables
  • Statistics
  • United States
  • United States Government
  • Universities

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.