Forecasting of Secondary Item Returns.

Abstract

A family of Return Rate models using a Kalman Filter to estimate unserviceable returns per unit of program (Flying Hours or Item Density) is examined. A comparison--based on several measures of forecast error--is made with the current forecasting model of unserviceable returns per unit of demand. The current model produces forecast errors 10 to 20 percent higher than the Kalman Filter models.

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1976
Accession Number
ADA030343

Entities

People

  • Richard M. A. Urbach

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Collaborative Techniques
  • Delphi Method
  • Estimators
  • Filters
  • Kalman Filters
  • Management Engineering
  • Mathematical Filters
  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Materials Science
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers