MODELS OF THE NUMBER OF ERRORS USING STRUCTURED PARAMETERS IN A GENERALIZED POISSON DISTRIBUTION AND THE POLYA-EGGENBERGER DISTRIBUTION

DOI 2 Citations

Bibliographic Information

Other Title
  • 一般化ポアソン分布及びポリアーエゲンベルガー分布の構造化パラメータを用いた誤答数のモデル

Abstract

When a Poisson process with a constant parameter is not appropriate to describe data, generalized Poisson distributions or mixtures of Poisson distribution are utilized to fit the data. However, if a population which can be described by a generalized distribution or mixtures of Poisson distribution, varies with independent variables representing the properties of the popula tion, the distributions are not enough to describe the data. We propose models in which the parameters of these distributions are functions of the independent variables. These models are applicable to data on incorrect responses in adult intelligence tests.

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Details 詳細情報について

  • CRID
    1390001205180754304
  • NII Article ID
    130004013922
  • DOI
    10.2333/jbhmk.19.2_1
  • ISSN
    18804705
    03855481
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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