SEQUENTIAL MODELS IN PROBABILISTIC DEPRECIATION

Abstract

Probabilistic depreciation is a method of determining the proper depreciation charge in each year of an asset's service life, when the service life is a random variable with known distribution. The paper discusses how the service life distribution is modified as more information is obtained about the actual lifetime of the asset. The problem of determining the proper amount to be charged each year to depreciation while at the same time maintaining the proper balance in the accumulated depreciation account is considered. The analysis is done both for a single asset case and for group depreciation. A final section discusses the use of Bayesian analysis for estimating the particular form of the service life distribution while the assets are in service.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1969
Accession Number
AD0689371

Entities

People

  • Robert S. Kaplan
  • Yuji Ijiri

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Binomials
  • Computations
  • Contracts
  • Probability
  • Probability Distributions
  • Random Variables
  • Schools
  • Uncertainty
  • Universities

Readers

  • Inertial Navigation Systems.
  • Military Mobilization and Reserve Forces Studies.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy