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  • 标题:Nested Generalized Linear Model with Ordinal Response for Correlated Data
  • 其他标题:Nested Generalized Linear Model with Ordinal Response for Correlated Data
  • 本地全文:下载
  • 作者:Yekti Widyaningsih ; Asep Saefuddin ; Khairil A. Notodiputro
  • 期刊名称:Majalah Iptek = IPTEK : The Journal for Technology and Science
  • 印刷版ISSN:0853-4098
  • 电子版ISSN:2088-2033
  • 出版年度:2012
  • 卷号:23
  • 期号:2
  • DOI:10.12962/j20882033.v23i2.12
  • 语种:English
  • 出版社:IPTEK
  • 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.
  • 关键词:Nested Generalized Linear Model; Ordinal Response; Working Correlation Matrix; Correlated
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