Testing Whether New is Better than Used of a Specified Age, with Randomly Censored Data.

Abstract

Using randomly censored data, the authors develop a test of the null hypothesis that a new item has stochastically the same residual lifelength as does a used item of specified age t sub O, versus the alternative hypothesis that a new item has stochastically greater residual lifelength than does a used item of age t sub O. They also compare our test with a related test, developed for a complete-data model, in order to study the loss in efficiency because of censoring. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA145060

Entities

People

  • Dong Hun Park
  • Frank Proschan
  • M. Hollander

Organizations

  • Florida State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Asymptotic Normality
  • Data Science
  • Distribution Functions
  • Efficiency
  • Gaussian Processes
  • Information Science
  • Neoplasms
  • Normal Distribution
  • Probability
  • Prostate
  • Prostate Cancer
  • Random Variables
  • Residuals
  • Statistical Algorithms
  • Statistics
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Statistical inference.