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On tests of symmetry, marginal homogeneity and quasi-symmetry in two-way contingency tables based on minimum φ-divergence estimator with constraints

机译:基于约束条件的最小φ-散度估计量的双向列联表的对称性,边际齐性和拟对称性的检验

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The restricted minimum φ-divergence estimator, [Pardo, J.A., Pardo, L. and Zografos, K., 2002, Minimum φ-divergence estimators with constraints in multinomial populations. Journal of Statistical Planning and Inference, 104, 221-237], is employed to obtain estimates of the cell frequencies of an I x I contingency table under hypotheses of symmetry, marginal homogeneity or quasi-symmetry. The associated φ-divergence statistics are distributed asymptotically as chi-squared distributions under the null hypothesis. The new estimators and test statistics contain, as particular cases, the classical estimators and test statistics previously presented in the literature for the cited problems. A simulation study is presented, for the symmetry problem, to choose the best function φ_2 for estimation and the best function φ_1 for testing.
机译:受限的最小φ散度估计量,[Pardo,J.A.,Pardo,L。和Zografos,K.,2002年,在多项式总体中具有约束的最小φ散度估计量。统计计划与推断杂志,104,221-237]被用于在对称性,边际同质性或准对称性的假设下获得I x I列联表的单元格频率的估计。在零假设下,相关的φ散度统计量以卡方分布的形式渐近分布。作为特殊情况,新的估计量和检验统计量包含先前在文献中针对所引用问题提出的经典估计量和检验统计量。针对对称问题,进行了仿真研究,以选择最佳函数φ_2进行估计,并选择最佳函数φ_1进行测试。

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