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




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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.

KEYWORDS

umulative Probability; Global Symmetry; Linear Diagonals-Parameter Symmetry; Mean Equality; Ordinal Category; Orthogonal Test Statistic

Cite this paper

K. Yamamoto, M. Ohama and S. Tomizawa -Decompositions of Symmetry Using Generalized Linear Diagonals-Parameter Symmetry Model and Orthogonality of Test Statistic for Square Contingency Tables,- Open Journal of Statistics, Vol. 3 No. 6A, 2013, pp. 9-13. doi: 10.4236-ojs.2013.36A002.





Author: Kouji Yamamoto, Motoki Ohama, Sadao Tomizawa

Source: http://www.scirp.org/



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