Katz Distributions, with Applications to Minefield Clearance.

Abstract

At the end of a mine clearance operation, some judgment must be made about the number of mines that remain uncleared. A Bayesian analysis will require a prior distribution for the number of mines. This report describes some desirable properties of Katz distributions for that purpose. The Katz class consists of binomial, Poisson, and negative binomial distributions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1996
Accession Number
ADA307317

Entities

People

  • Alan R. Washburn

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Bayes Theorem
  • Bayesian Networks
  • Binomials
  • Clearances
  • Computational Science
  • Discrete Distribution
  • Military Research
  • Minefields
  • Monte Carlo Method
  • Operations Research
  • Order Statistics
  • Probability
  • Probability Distributions
  • Random Variables
  • Real Numbers
  • Statistics
  • Tactical Decision Aids

Fields of Study

  • Mathematics

Readers

  • Logistics and Supply Chain Management.
  • Statistical inference.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference