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T-test alternative for multiply left- censored samples from Weibull distribution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F15%3A00531378" target="_blank" >RIV/60162694:G42__/15:00531378 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26220/15:PU114485

  • Result on the web

    <a href="http://vavtest.unob.cz/registr" target="_blank" >http://vavtest.unob.cz/registr</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    T-test alternative for multiply left- censored samples from Weibull distribution

  • Original language description

    Left-censored data with one or more detection limits occur frequently in many application areas. This paper suggests the computational procedure for calculation of maximum likelihood estimates of the parameters for type I multiply left-censored Weibull samples. Moreover, using the asymptotic properties of maximum likelihood estimates, an alternative to classical t-test that can be used for comparison of expected values of two independent type I multiply left-censored Weibull samples is proposed. The power functions of both tests are compared by simulations. The methods derived in this paper can be used in real environmental or chemical data analysis

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Mendel 2015 21st International Conference of Soft Computing. Mendel Journal series. 2015

  • ISBN

  • ISSN

    1803-3814

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    169-174

  • Publisher name

    University of Technology, Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article