Statistical Test for Multivariate Geographically Weighted Regression Model Using the Method of Maximum Likelihood Ratio Test
| Main Authors: | Harini, Sri, Purhadi, Purhadi, Sunaryo, S |
|---|---|
| Format: | Journal PeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
Ceser Publications
, 2012
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| Subjects: | |
| Online Access: |
http://repository.uin-malang.ac.id/515/1/1284-1316-1-Harini.pdf http://repository.uin-malang.ac.id/515/ http://www.ceser.in/ceserp/index.php/ijamas |
Daftar Isi:
- Multivariate Geographically Weighted Regression (MGWR) model is an enhancement of the GWR model with the model parameter estimator that is local to each point or location where the data is collected. In MGWR model the vector error is a random and the distributed normal multivariate with mean zero and variance covariance Σ(u_i,v_i ). The hypothesis test of MGWR model is done by comparing the suitability of the parameters coefficient simultaneously and partially from MGWR model. Determination of the statistical test is using the method of Maximum Likelihood Ratio Test (MLRT).