Spatial Modeling of Infant Mortality Rate In South Central Timor Regency Using GWLR Method With Adaptive Bisquare Kernel And Gaussian Kernel

• المؤلفون الرئيسيون: Teguh Prawono Sabat, Soenarnatalina M., NIDN. 0025126011, Windhu Purnomo, NIDN. 0025065402
• التنسيق: مقال PeerReviewed
• اللغة: English; Indonesian
• منشور في: Humanistic Network for Science and Techno lo gy 2017
• الموضوعات: RJ Pediatrics
• الوصول للمادة أونلاين: http://repository.unair.ac.id/86978/1/Spatial%20Modeling%20of%20Infant%20Mortality%20Rate%20In%20South%20Central%20Timor%20Regency%20Using%20GWLR%20Method%20With%20Adaptive%20Bisquare%20Kernel%20And%20Gaussian%20Kernel.pdf; http://repository.unair.ac.id/86978/2/C19-min.pdf; http://repository.unair.ac.id/86978/; http://www.heanoti.com/index.php/hn/article/download/hn1207/23; https://doi.org/10.33846/hn.v1i2.24

Geographica lly Weighted Logistic Regression (GWLR) was regression model consider the spatial fac tor, which could be used to analyze the IMR. The number of Infant Mortality as big as 100 cases in 20 15 or 12 per l000 live birth in South Central Timor Regency. The aim of this study was to determine...