Statistical Models for Estimating Overhead Costs

Abstract

Five years of quarterly overhead costs at two major defense aircraft manufacturers were categorized according to the types of costs incurred. These categories of overhead costs were then modeled via regression analysis using production and operating data from the two contractors as independent variables. Adjustment for quarterly autocorrelation revealed excellent structural and predictive models of total overhead and labor-related overhead costs.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1983
Accession Number
ADA137351

Entities

People

  • D. C. Boger

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Aerospace Industry
  • Aircraft Industry
  • Aircrafts
  • Autocorrelation
  • Computers
  • Contractors
  • Data Science
  • Errors
  • Estimators
  • Fringe Benefits
  • Information Science
  • Knowledge Management
  • Management Personnel
  • Predictive Modeling
  • Production
  • Regression Analysis
  • Statistical Analysis

Readers

  • Control Systems Engineering.
  • Life Cycle Cost Analysis
  • Personnel Management and Statistics in the Military and Department of Defense