scholarly journals Robust geographically weighted regression with least absolute deviation method in case of poverty in Java Island

2017 ◽  
Author(s):  
Rawyanil ‘Afifah ◽  
Yudhie Andriyana ◽  
I. G. N. Mindra Jaya
Keyword(s):  
Geographically Weighted Regression ◽  
Weighted Regression ◽  
Least Absolute Deviation ◽  
Absolute Deviation ◽  
Deviation Method

scholarly journals ROBUST GEOGRAPHICALLY WEIGHTED REGRESSION DENGAN METODE MUTLAK SIMPANGAN TERKECIL PADA PEMODELAN KEJADIAN DIARE DI KOTA SEMARANG

2018 ◽  
Vol 7 (2) ◽  
pp. 143-152
Author(s):  
Ika Chandra Nurhayati ◽  
Agus Rusgiyono ◽  
Hasbi Yasin
Keyword(s):  
Spatial Heterogeneity ◽  
Spatial Data ◽  
Geographically Weighted Regression ◽  
Least Square ◽  
Weighted Regression ◽  
Distribution Data ◽  
Health Issues ◽  
Least Absolute Deviation ◽  
Absolute Deviation ◽  
The People

Diarrhea is one of many health issues in developing country like Indonesia, because the sickness and the death number are still high. According to health profile of Semarang City, the people who suffer from diarrhea from 2010-2015 are decreasing. The lowest point happened at the year 2013 with the total case of 38.001, however there are an increasing number from 2014-2015. The distribution data of diarrhea is a spatial data. The differences between environment and sanitation could cause spatial heterogeneity. The spatial heterogeneity could cause the produced variant value no longer constant, but instead it is different on each region. Therefore, regression model that involves the effects of spatial heterogeneity is needed, which are Geographically Weighted Regression (GWR) that is built by Weighted Least Square (WLS) adjuster. Although, GWR parameter adjuster that used WLS is very sensitive with the existence of outliers. The existence of the outlier in the data will create a huge residual. Thus, more robust method is needed, which is Least Absolute Deviation (LAD) methods in order to estimate the parameter on model GWR. This model is called Robust GWR (RGWR). The result shows that the model events of diarrhea on each region in Semarang City are different. Furthermore, the model events of diarrhea with RGWR model generate MAPE 16,3396% which means the performance of RGWR is formed well. Keyword: Diarrhea, Robust, Geographically Weighted Regression, Least Absolute Deviation

scholarly journals نمذجة طريقة انحرافات القيم المطلقة باستخدام طرق عددية لمقياس تشتت مقترح للخطأ

2014 ◽  
Vol 20 (76) ◽  
pp. 400
Author(s):  
احمد ادريس مرعي ◽  
محمود محمد طاهر ◽  
محمود محمد طاهر
Keyword(s):  
Regression Model ◽  
Least Absolute Deviation ◽  
Absolute Deviation ◽  
Deviation Method

يتم في هذا البحث استعراض لطريقة انحرافات القيمة المطلقة الصغرى (Least absolute deviation Method) المعتمدة على أسلوب البرمجة الخطية في تقدير معالم أنموذج الانحدار الخطي البسيط (Simple Liner Regression Model) وإعطاء نبذه عنه ومن ثم نمذجة طريقة انحرافات القيمة المطلقة الصغرى باستخدام مفهوم مقياس مقترح للتشتت وتكوين أنموذج انحدار خطي بسيط يعتمد على المقياس المقترح والهدف من ذلك هو إيجاد مقدرات لاتتاثر بالقيم الشاذة بطريقة عددية وبأقل تكرار ممكن.

Improved Cole parameter extraction based on the least absolute deviation method

2013 ◽  
Vol 34 (10) ◽  
pp. 1239-1252 ◽  
Author(s):  
Yuxiang Yang ◽  
Wenwen Ni ◽  
Qiang Sun ◽  
He Wen ◽  
Zhaosheng Teng
Keyword(s):  
Parameter Extraction ◽  
Least Absolute Deviation ◽  
Absolute Deviation ◽  
Deviation Method
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