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  • 标题:An Extended Bivariate T-Distribution Type Symmetry Model for Square Contingency Tables
  • 本地全文:下载
  • 作者:Kiyotaka Iki ; Masayuki Okada ; Sadao Tomizawa
  • 期刊名称:Open Journal of Statistics
  • 印刷版ISSN:2161-718X
  • 电子版ISSN:2161-7198
  • 出版年度:2018
  • 卷号:08
  • 期号:02
  • 页码:249-257
  • DOI:10.4236/ojs.2018.82015
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:The purpose of this paper is to propose a new model of asymmetry for square contingency tables with ordered categories. The new model may be appropriate for a square contingency table if it is reasonable to assume an underlying bivariate t-distribution with different marginal variances having any degrees of freedom. As the degrees of freedom becomes larger, the proposed model approaches the extended linear diagonals-parameter symmetry model, which may be appropriate for a square table if it is reasonable to assume an underlying bivariate normal distribution. The simulation study based on bivariate t-distribution is given. An example is given.
  • 关键词:Bivariate T-Distribution;Square Contingency Table;Symmetry;Underlying Distribution
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