Considerations for Obsolescence Prediction

Abstract

Our research considers statistical and mathematical techniques that demonstrate potential for improving the predictive capabilities used by the Navy in modeling hardware obsolescence. In Section 1, we define the type of obsolescence considered in our research (Section 1.1) and discuss common predictive methods in the obsolescence literature (Section 1.2). In Section 3, our experiments comparing the performances of random forests and random survival forests for modeling data with right-censored responses are described.

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Document Details

Document Type
Technical Report
Publication Date
Jul 29, 2019
Accession Number
AD1092377

Entities

People

  • Anthony Leclerc
  • Emily Nystrom

Organizations

  • Naval Information Warfare Center Atlantic

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Neural Networks
  • Data Science
  • Data Set
  • Databases
  • Electronic Components
  • Engineering
  • Information Science
  • Information Systems
  • Load Monitoring
  • Machine Learning
  • Markov Chains
  • Normal Distribution
  • Obsolescence
  • Probability
  • Probability Density Functions
  • Random Variables
  • Reliability
  • Standards
  • Statistical Analysis
  • Stochastic Processes
  • Supervised Machine Learning
  • Surveys

Readers

  • Aerospace Engineering.
  • Business Analytics
  • Statistical inference.