Changeover Inference: Estimating the Relationship Between DT and OT Data

Abstract

This thesis develops a model which is intended to be used to summarize historical data pertaining to systems that have experienced changeover from Developmental Testing (DT) to Operational Testing (OT) . Using this historical data, maximum likelihood is used to estimate the magnitude of the changeover factor from the DT rate to OT rate and to predict the OT performance of a new system which has undergone developmental testing. Using a re-sampling method called the Bootstrap, the sampling variance and standard error of the changeover factor are calculated, as are confidence intervals for the OT failure rate of a new system. These estimates and confidence intervals will provide the decisionmaker with an appreciation of the adequacy of their projection of future OT experience and also some guidance as to the readiness of his new system for entering the Operational Testing phase.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1997
Accession Number
ADA333502

Entities

People

  • Kevin L. Dippery

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Basic Programming Language
  • Computer Programs
  • Confidence Limits
  • Data Sets
  • Department Of Defense
  • Intervals
  • Operations Research
  • Probability
  • Random Variables
  • Reliability
  • Sampling
  • Schools
  • Standards
  • Test And Evaluation
  • Test Methods
  • United States
  • United States Naval Academy

Readers

  • Aerospace Test and Evaluation
  • Life Cycle Cost Analysis
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference