Testing to Determine the Underlying Distribution Using Randomly Censored Data.

Abstract

For right-censored data, a goodness-of-fit procedure is developed for testing whether the underlying distribution is a specified functions G. The test statistic C is the one-sample limit of Efron's (1967) two-sample statistic W. The test based on C is compared with recently proposed competitors due to Koziol and Green (1976) and Hyde (1977). The comparisons are on the basis of applicability, the extent to which the censoring distribution can affect the inference, and power. It is shown that in certain situations the C test compares favourably with the tests of Koziol-Green and Hyde.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1978
Accession Number
ADA054978

Entities

People

  • Frank Proschan
  • Myles Hollander

Organizations

  • Florida State University

Tags

Communities of Interest

  • Counter IED
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Clinical Trials
  • Data Science
  • Distribution Functions
  • Estimators
  • Gaussian Processes
  • Goodness Of Fit Tests
  • Information Science
  • Neoplasms
  • Normal Distribution
  • Probability
  • Prostate Cancer
  • Scientific Research
  • Statistics
  • Stochastic Processes
  • Word Processors

Fields of Study

  • Mathematics

Readers

  • Analytical Chemistry
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference