Decompositions of Symmetry Using Generalized Linear Diagonals-Parameter Symmetry Model and Orthogonality of Test Statistic for Square Contingency Tables  

作　　者：Kouji Yamamoto Motoki Ohama Sadao Tomizawa 

机构地区：[1]Department of Information Sciences, Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan [2]Department of Medical Innovation, Osaka University Hospital, Osaka, Japan

出　　处：《Open Journal of Statistics》2013年第6期9-13,共5页统计学期刊（英文）

摘　　要：For square contingency tables with ordered categories, the present paper gives several theorems that the symmetry model holds if and only if the generalized linear diagonals-parameter symmetry model for cell probabilities and for cumulative probabilities and the mean nonequality model of row and column variables hold. It also shows the orthogonality of statistic for testing goodness-of-fit of the symmetry model. An example is given.For square contingency tables with ordered categories, the present paper gives several theorems that the symmetry model holds if and only if the generalized linear diagonals-parameter symmetry model for cell probabilities and for cumulative probabilities and the mean nonequality model of row and column variables hold. It also shows the orthogonality of statistic for testing goodness-of-fit of the symmetry model. An example is given.

关 键 词：umulative Probability Global SYMMETRY LINEAR Diagonals-Parameter SYMMETRY Mean Equality Ordinal Category Orthogonal Test Statistic 

分 类 号：O1[理学—数学]