Estimasi Model Spatial Autoregressive dan Model Spatial Error dengan Matriks Pembobot Spasial Tipe Rook
| Main Authors: | , NOVIANA, , Drs. Zulaela, Dipl.Med.Stats, M.Si |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2014
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/131604/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=72102 |
Daftar Isi:
- Classical regression analysis is a method of statistical analysis to determine how the independent variables affect the dependent variables. Classical regression analysis sometimes ignores the element of region in data that has been collected in some regions, it will produce biased estimates so the results of the analysis are less well used to take a decision. So necessary to use a spatial regression analysis that generalization of the classical regression analysis which includes elements of the autoregressive or error in the model to get a more precise conclusion. In the case of CBR contain significant errors, but does not contain the effect of the autoregressive effect that Spatial Error model is more appropriate than the model containing the autoregressive effect on the Spatial Autoregressive Model.