An Alternative Procedure for Estimating Unit Learning Curves,

Abstract

The unit learning curve plays a prominent role in DOD cost analysis. In those cases where the model accurately describes the real-life situation, i.e., when the model is properly applied to the data, it can be a powerful tool for predicting unit production costs. There are, however, some unique estimation problems inherent in the model. The usual method of generating predicted unit production costs attempts to extend properties of least squares estimators to non-linear functions of these estimators. The result is biased estimates of unit production costs. Another problem common to many learning curve applications is estimating lot midpoints and slope coefficients when both estimates depend on each other and both quantities are unknown. This paper addresses the two problems discussed above and presents an alternative procedure for estimating unit learning curves.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA162015

Entities

People

  • Harold W. Dagel

Organizations

  • Assistant Secretary of the Navy (Financial Management and Comptroller)

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programs
  • Computers
  • Cost Analysis
  • Costs
  • Data Science
  • Data Sets
  • Digital Computers
  • Economic Analysis
  • Equations
  • Estimators
  • Exponential Functions
  • Information Science
  • Learning
  • New York
  • Personal Computers
  • Probability Density Functions
  • Random Variables

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Statistical inference.