Refinement and Extension of Shrinkage Techniques in Loss Rate Estimation of Marine Corps Officer Manpower Models.

Abstract

This thesis is a continuation of previous work to apply modern multiparameter estimation techniques to the problem of estimating attrition rates for a large number of small inventory cells in manpower planning models used by the U.S. Marine Corps. The main advances involve the promising introduction of empirical Bayes (non-constant shrinkage) techniques, recognition of the non symmetric nature of the errors with a response to this, and some insight into all aggregation plans that should help provide greater stability for the estimation methods. In addition, the roles of some middle level methodological choices are explored. Keywords: Theses; Miller transformation inverse.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1988
Accession Number
ADA194344

Entities

People

  • Charles R. Dickinson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Attrition
  • Combat Support
  • Computational Science
  • Computer Programs
  • Computers
  • Databases
  • Estimators
  • Inventory
  • Inversion
  • Losses
  • Manpower
  • Marine Corps
  • Marine Corps Personnel
  • Measures Of Effectiveness
  • United States Naval Academy
  • Validation

Fields of Study

  • Mathematics

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Statistical inference.
  • Systems Analysis and Design