Predicting Coast Guard Enlisted Attrition

Abstract

This study examines enlisted attrition behavior for the U.S. Coast Guard and develops a model that projects attrition figures. Survival analysis techniques are used to analyze the empirical attrition behaviors associated with an individuals sex, race, marital status, and military occupational skill (MOS). In this study males tend to have higher survival probabilities than females, non-caucasians higher than caucasians, and married persons higher than those not married. Aviation MOSs have the highest survival probabilities and technical MOSs have the lowest. Modelled survivor functions are developed for two paygrades because each contain small personnel inventories. These modelled survivor functions do not fit the data as well as desired but are nonetheless used pending the development of sharper alternatives. Finally, a counting model based on the Binomial Distribution is developed that projects monthly enlisted attrition figures. Attrition, survival analysis, Weibull regression model, Binomial counting model, survivor function, accelerated failure time model, Coast Guard Attrition.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1992
Accession Number
ADA248520

Entities

People

  • Douglas A. Blakemore

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Attrition
  • Classification
  • Coast Guard
  • Data Analysis
  • Data Science
  • Databases
  • Employment
  • Enlisted Personnel
  • Information Science
  • Job Training
  • Personnel Management
  • Probability
  • Random Variables
  • Security
  • Statistical Analysis
  • Statistics
  • United States

Readers

  • Naval Personnel Management
  • Statistical inference.