2014年10月
Model based on skew normal distribution for square contingency tables with ordinal categories
COMPUTATIONAL STATISTICS & DATA ANALYSIS
- ,
- 巻
- 78
- 号
- 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
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- 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
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- 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