Estimation of the Parameters of Finite Location and Scale Mixtures

Abstract

A finite location mixture is represented as the sum of two independent random variables, and a finite scale mixture is represented as the product of two independent random variables. Using these representations, it is shown how to generate random samples from these mixtures, how to prove their identifiabilities, and how to estimate the unknown parameters.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1976
Accession Number
ADA033269

Entities

People

  • Javad Behboodian

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Analysis Of Variance
  • California
  • Confidence Limits
  • Contracts
  • Data Science
  • Distribution Functions
  • Information Science
  • Maximum Likelihood Estimation
  • Military Research
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference
  • Statistical Samples
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Statistical inference.