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Statistical Inferences in Bidimensional Regression Models

机译:二维回归模型中的统计推断

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This paper proposes formal procedures of significance tests for bidimensional regression models (Tobler 1994): (1) significance tests of estimated parameters, (2) significance tests of bidimensional correlation coefficient, and (3) significance tests for comparison of bidimensional regression models. These tests are demonstrated by reexamination of the cognitive map study in Kanazawa City (Wakabayashi 1994). The empirical results statistically support the systematic distortion in the cognitive map, enlargement and rotation, indicated by the Euclidean model in the previous study, and discern the affine model as a more proper model that can identify more components of systematic cognitive distortion.
机译:本文提出了用于二维回归模型的显着性检验的正式程序(Tobler 1994):( 1)估计参数的显着性检验;(2)二维相关系数的显着性检验;(3)用于比较二维回归模型的显着性检验。这些测试通过对金泽市认知地图研究的重新检验来证明(Wakabayashi 1994)。经验结果在统计学上支持先前研究中的欧几里得模型所表明的认知图,放大和旋转中的系统畸变,并且将仿射模型识别为可以识别系统性认知畸变更多成分的更合适的模型。

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