Can Data Recognize Its Parent Distribution? Metadata

Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.

Available Formats

Dublin Core: XML Dublin Core: JSON Dublin Core: Text Dublin Core: RDF/XML UNTL: XML Access METS: XML

Title

  • Main Title Can Data Recognize Its Parent Distribution?

Creator

  • Author: A.W.Marshall
    Creator Type: Personal
  • Author: J.C.Meza
    Creator Type: Personal
  • Author: Olkin, and I.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization
    Contributor Info: US Department of Energy (United States)

Publisher

  • Name: Sandia National Laboratories
    Place of Publication: Albuquerque, New Mexico
    Additional Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA

Date

  • Creation: 1999-05-01

Language

  • English

Description

  • Content Description: This study is concerned with model selection of lifetime and survival distributions arising in engineering reliability or in the medical sciences. We compare various distributions, including the gamma, Weibull and lognormal, with a new distribution called geometric extreme exponential. Except for the lognormal distribution, the other three distributions all have the exponential distribution as special cases. A Monte Carlo simulation was performed to determine sample sizes for which survival distributions can distinguish data generated by their own families. Two methods for decision are by maximum likelihood and by Kolmogorov distance. Neither method is uniformly best. The probability of correct selection with more than one alternative shows some surprising results when the choices are close to the exponential distribution.
  • Physical Description: Medium: P; Size: 62 pages

Subject

  • Keyword: Probability
  • STI Subject Categories: 99 General And Miscellaneous//Mathematics, Computing, And Information Science
  • Keyword: Computerized Simulation
  • STI Subject Categories: 59 Basic Biological Sciences
  • STI Subject Categories: 42 Engineering
  • Keyword: Service Life
  • Keyword: Engineering
  • Keyword: Survival Curves
  • Keyword: Lifetime
  • Keyword: Reliability
  • Keyword: Distribution

Source

  • Other Information: PBD: 1 May 1999

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report

Format

  • Text

Identifier

  • Report No.: SAND99-8241
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/8244
  • Office of Scientific & Technical Information Report Number: 8244
  • Archival Resource Key: ark:/67531/metadc783562

Note

  • Display Note: OSTI as DE00008244
Back to Top of Screen