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Modelling of Annual Maximum Day Precipitation by Three-parametric Lognormal Distribution with Further Transformation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F07%3A00033099" target="_blank" >RIV/00216224:14310/07:00033099 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling of Annual Maximum Day Precipitation by Three-parametric Lognormal Distribution with Further Transformation

  • Original language description

    This contribution deals with several type of distribution of maximum annual day precipitation sums. It tries to use (and tries to say why) different transform of normal distribution then LN3 or Gumbell distribution. Fit of new transform is much preferable with probably better extrapolation quality then that of other distributions. In the end of contribution we join several graphic presentations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Summer School DATASTAT 06

  • ISBN

    978-80-210-4493-7

  • ISSN

  • e-ISSN

  • Number of pages

    17

  • Pages from-to

  • Publisher name

    MU

  • Place of publication

    Brno

  • Event location

    Hotel Valáškův Grunt, Kozov

  • Event date

    Jan 1, 2006

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article