ANALISIS GEOGRAPHICALLY WEIGHTED REGRESSION DENGAN PEMBOBOT KERNEL BI-SQUARE UNTUK ANGKA PENGANGGURAN DI KABUPATEN BOJONEGORO
Abstract View: 394, PDF Download: 362DOI:
https://doi.org/10.32665/james.v2i1.75Keywords:
unemployment, Spatial, Geographically Weighted Regression, Kernel Bi-square, Pengangguran, SpasialAbstract
References
[1] Utami, T.W., dkk. Pemodelan Regresi Berganda dan Geographically Weighted Regression pada Tingkat Pengangguran Terbuka di Jawa Tengah. Media Statistika 9(2) (2016).
[2] Prasanti, T.A. Aplikasi Regresi Data Panel untuk Pemodelan Tingkat Pengangguran Terbuka Kabupaten/Kota di Provinsi Jawa Tengah.Skripsi Program Sarjana Statistika Universitas Diponegoro (2015).
[3] Fotheringham, A.S. Brunsdon, C., dan Charlton, M. Geographically Weighted Regression, John Wiley and Sons, Chichester, UK. (2002).
[4] Leung, Y. Mei, C.L. dan Zhang, W.X. Statistical Tests for Spatial Non-Stationarity Based on the Geographically Weighted Regression Model, Environment and Planning A (2000).
[5] Draper, N. dan Smith, H. Analisis Regresi Terapan. PT. Gramedia Pustaka Utama. Jakarta (1992).
[6] Mei, C.L. “Geographically Weighted Regression Technique for Spatial Data Analysis”, School Of Science Xi’an Jiaotong University (2005).
[7] Gujarati, D. Dasar-dasar Ekonometrika Edisi Lima (diterjemahkan oleh Mangunsong, R.C.). Salemba Empat. Jakarta (2012).
[2] Prasanti, T.A. Aplikasi Regresi Data Panel untuk Pemodelan Tingkat Pengangguran Terbuka Kabupaten/Kota di Provinsi Jawa Tengah.Skripsi Program Sarjana Statistika Universitas Diponegoro (2015).
[3] Fotheringham, A.S. Brunsdon, C., dan Charlton, M. Geographically Weighted Regression, John Wiley and Sons, Chichester, UK. (2002).
[4] Leung, Y. Mei, C.L. dan Zhang, W.X. Statistical Tests for Spatial Non-Stationarity Based on the Geographically Weighted Regression Model, Environment and Planning A (2000).
[5] Draper, N. dan Smith, H. Analisis Regresi Terapan. PT. Gramedia Pustaka Utama. Jakarta (1992).
[6] Mei, C.L. “Geographically Weighted Regression Technique for Spatial Data Analysis”, School Of Science Xi’an Jiaotong University (2005).
[7] Gujarati, D. Dasar-dasar Ekonometrika Edisi Lima (diterjemahkan oleh Mangunsong, R.C.). Salemba Empat. Jakarta (2012).
Downloads
Published
2019-04-25
How to Cite
[1]
A. Y. Kartini, “ANALISIS GEOGRAPHICALLY WEIGHTED REGRESSION DENGAN PEMBOBOT KERNEL BI-SQUARE UNTUK ANGKA PENGANGGURAN DI KABUPATEN BOJONEGORO”, JaMES, vol. 2, no. 1, pp. 51–59, Apr. 2019.
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work