論文

査読有り
2014年10月

Model based on skew normal distribution for square contingency tables with ordinal categories

COMPUTATIONAL STATISTICS & DATA ANALYSIS
  • Kouji Yamamoto
  • ,
  • Hidetoshi Murakami

78
開始ページ
135
終了ページ
140
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.csda.2014.04.007
出版者・発行元
ELSEVIER SCIENCE BV

For the analysis of square contingency tables with ordinal categories, Tahata, Yamamoto and Tomizawa (2009) considered the normal distribution type symmetry model, which may be appropriate if it is reasonable to assume an underlying bivariate normal distribution with equal marginal variances. The present paper proposes a new model which may be appropriate for a square ordinal table if it is reasonable to assume an underlying bivariate skew normal distribution with equal marginal variances. Simulations are used to investigate the fitting of new model for bivariate skew normal distribution. The decayed teeth data are analyzed by using the new model. (C) 2014 Elsevier B.V. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.csda.2014.04.007
DBLP
https://dblp.uni-trier.de/rec/journals/csda/YamamotoM14
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000339145100010&DestApp=WOS_CPL
URL
https://dblp.uni-trier.de/db/journals/csda/csda78.html#YamamotoM14
ID情報
  • DOI : 10.1016/j.csda.2014.04.007
  • ISSN : 0167-9473
  • eISSN : 1872-7352
  • DBLP ID : journals/csda/YamamotoM14
  • Web of Science ID : WOS:000339145100010

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