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Decomposition for polynomial cumulative symmetry model in square contingency tables with ordered categories

机译:具有序类别的正方形列联表中多项式累积对称模型的分解

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摘要

For square contingency tables with ordered categories, Goodman (1979) considered the diagonals-parameter symmetry model for the cell probabilities. Tomi-zawa (1993) proposed the cumulative diagonals-parameter symmetry (D) model which has a similar form for cumulative probabilities that an observation will fall in row (column) category i or below and column (row) category j (> i) or above. First, this paper gives another expression of the D model in which the log odds (for the symmetric cumulative probabilities) have polynomial patterns of the distance j — i between the diagonal containing the cutpoint [i and j (> i)] and the main diagonal of the table. Secondly, this paper introduces the cumulative polynomial diagonals-parameter symmetry (C) model which is the parsimonious D model, and the cumulative polynomial diagonal marginal symmetry (M) model. Thirdly, this paper gives the decomposition of the C model into the D and M models.
机译:对于具有排序类别的正方形列联表,Goodman(1979)考虑了单元格概率的对角线参数对称模型。 Tomi-zawa(1993)提出了累积对角线参数对称(D)模型,该模型具有类似形式的累积概率,即观测值将落入行(列)类别i或以下,列(行)类别j(> i)或以上。首先,本文给出了D模型的另一种表示形式,其中对数赔率(对于对称累积概率)具有多项式模式,其中包含截点[i和j(> i)]的对角线与主点之间的距离j_i桌子的对角线。其次,介绍了简约D模型的累积多项式对角-参数对称(C)模型和累积多项式对角线边缘对称(M)模型。第三,本文将C模型分解为D和M模型。

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