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Divergence-based tests of homogeneity for spatial data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00210346" target="_blank" >RIV/68407700:21340/14:00210346 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s00362-013-0554-6" target="_blank" >http://dx.doi.org/10.1007/s00362-013-0554-6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00362-013-0554-6" target="_blank" >10.1007/s00362-013-0554-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Divergence-based tests of homogeneity for spatial data

  • Original language description

    The problem of testing homogeneity in contingency tables when the data are spatially correlated is considered.We derive statistics defined as divergences between unrestricted and restricted estimated joint cell probabilities and we show that they are asymptotically distributed as linear combinations of chi-square random variables under the null hypothesis of homogeneity. Monte Carlo simulation experiments are carried out to investigate the behavior of the new divergence test statistics and to make comparisons with the statistics that do not take into account the spatial correlation.We show that some of the introduced divergence test statistics have a significantly better behavior than the classical chi-square test for the problem under consideration when we compare them on the basis of the simulated sizes and powers.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Statistical Papers

  • ISSN

    0932-5026

  • e-ISSN

  • Volume of the periodical

    55

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    19

  • Pages from-to

    1059-1077

  • UT code for WoS article

    000343046200010

  • EID of the result in the Scopus database