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Nested Generalized Linear Model with Ordinal Response for Correlated Data

机译:具有相关数据的序数响应的嵌套广义线性模型

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摘要

In this paper, we discuss the generalized linear models with ordinal response for correlated data in nested area. Some basic concepts are described, that is nested spatial, threshold model, and cumulative link function. Due to correlated data used for this modeling, Generalized Estimating Eequation (GEE) is used as model parameters estimation method. Nested is shown by the model building and its application on nested spatially data. In this method, some Working Correlation Matrices (WCM) are able to be specified depend on the nature and type of the data. In this study, 3 types of WCM and 2 types of parameters estimation covariance are used to see the results of parameters estimation from these combinations. As a conclusion, independent WCM is appropriate to the data.
机译:在本文中,我们讨论了具有序列响应的通用线性模型,在嵌套区域中的相关数据。描述了一些基本概念,即嵌套空间,阈值模型和累积链路函数。由于用于该建模的相关数据,广义估计equation(Gee)用作模型参数估计方法。嵌套由模型构建和其在嵌套空间数据上的应用示出。在该方法中,能够指定一些工作相关矩阵(WCM)依赖于数据的性质和类型。在本研究中,3种类型的WCM和2种参数估计协方差用于从这些组合中查看参数估计的结果。作为结论,独立WCM适合数据。

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