Improving Reliability Estimates with Bayesian Hierarchical Models

Abstract

The reliability of a weapon system is an essential component of its suitability for operational deployment. Yet, in an era of reduced budgets and limited testing, verifying that reliability requirements have been met can be challenging, particularly using traditional analysis methods that depend on a single set of data coming from a single test phase.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2016
Accession Number
AD1123585

Entities

People

  • Kassie Fronczyk
  • Laura Freeman
  • Rebecca Dickinson

Organizations

  • Institute for Defense Analyses

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Anti-Tank Missiles
  • Bayesian Inference
  • Bayesian Networks
  • Case Studies
  • Combat Vehicles
  • Department Of Defense
  • Failure Mode And Effect Analysis
  • Ground Vehicles
  • Guided Missiles
  • High Reliability
  • Intervals
  • Medical Evacuation
  • Models
  • Reconnaissance Vehicles
  • Reliability
  • Statistics
  • Test And Evaluation
  • Vehicles
  • Warfare
  • Weapon Systems

Readers

  • Regression Analysis.
  • Strategic Security Studies

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference