Category Analysis of the Marine Corps Combat Readiness Evaluation System (MCCRES).

Abstract

Twenty-seven data sets (evaluations) of the MCCRES are analyzed from the point of view of the category structure introduced by Brazily. Due to the specific designs of the evaluations, the statistical data are complicated by missing observations (nonapplicable requirements). This creates a problem of analyzing dependent bernoulli trials with different numbers of observations in different cells. A quasi-Bayesian model is introduced and estimators of the structural parameters are studied. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 15, 1981
Accession Number
ADA121731

Entities

People

  • S. Zacks
  • W. H. Marlow
  • Zeev Barzily

Organizations

  • George Washington University

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Bayesian Networks
  • Combat Readiness
  • Covariance
  • Data Science
  • Data Sets
  • Engineering
  • Estimators
  • Factor Analysis
  • Information Science
  • Marine Corps
  • Military Research
  • Probability
  • Random Variables
  • Statistical Analysis
  • Statistical Data

Fields of Study

  • Mathematics

Readers

  • Military Training and Readiness Simulation
  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference