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Application of Statistical Weights to Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F12%3A39894793" target="_blank" >RIV/00216275:25530/12:39894793 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of Statistical Weights to Optimization

  • Original language description

    In literature there appear frequent discussions concerning the possibility of improving of regression calculation, i.e. achievement of goodness of fit of the regression dependence by the measured data, by means of the so-called statistical weights. Theseshould suppress the effect of inaccurate and/or deviated points and, on the other hand, accentuate the effect of the points lying nearer to the regression dependence. A two-step calculation method has been proposed and tested, the first step being performed in classical way and the second being corrected by means of the weights calculated from established characteristics - Cook&apos;s, Atkinson&apos;s and the likelihood distance, that were obtained in the first step. In this way it would be possible toachieve a better goodness of fit and, hence, better precision and correctness of the parameters looked for.

  • 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

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Summaries Volume 10th International Conference Process Control 2012

  • ISBN

    978-80-7395-500-7

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    42-50

  • Publisher name

    Univerzita Pardubice

  • Place of publication

    Pardubice

  • Event location

    Kouty nad Desnou

  • Event date

    Jun 11, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article