Forecasting Officer Losses-an Examination of Methods.

Abstract

Air Force Personnel Managers must be able to accurately forecast the force size. This need is explicit in meeting statutory budget limitations. Further officer losses drive accession, training, and promotion, thus the need for accuracy in forecasting losses cannot be over emphasized. To accomplish this objective loss rates have been generated using Ordinary Least Squares (OLS) stepwise regression. The objective of this paper is to expose the relative efficacies of alternative methods which could be used viz. Maximum Likelihood Estimation (MLE) and OLS standardized coefficient (Beta) predictor models. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA052906

Entities

People

  • T. M. Beatty

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Administrative Personnel
  • Air Force
  • Air Force Personnel
  • Attrition
  • Coefficients
  • Data Analysis
  • Human Resources
  • Management Personnel
  • Manpower Utilization
  • Maximum Likelihood Estimation
  • Military Personnel
  • Observation
  • Personnel Management
  • Simulations
  • Training
  • Validation

Readers

  • Naval Personnel Management
  • Regression Analysis.
  • Systems Analysis and Design