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The minimax approach to kriging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F01%3A00004939" target="_blank" >RIV/00216224:14310/01:00004939 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The minimax approach to kriging

  • Original language description

    Kriging techniques are frequently used for the evaluation of continuous spatial processes. When some additional information is known about the observed spatial process then it is useful to incorporate it into the statistical model. One possibility of howto do this is through the application of Bayesian statistics. The other possibility is to use the minimax technique. The minimax approach to kriging when the covariances of observed spatial process belong to a given neighbourhood of the fixed covariancematrix is described in the article.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2001

  • 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 99

  • ISBN

    80-210-2544-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    85

  • Publisher name

    Masaryk University,Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jan 1, 2001

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article