Geographically weighted kernel logistic regression for small area proportion estimation
نویسندگان
چکیده
منابع مشابه
Small Area Estimation Via M- Quantile Geographically Weighted Regression
The effective use of spatial information, that is the geographic locations of population units, in a regression model-based approach to small area estimation is an important practical issue. One approach for incorporating such spatial information in a small area regression model is via Geographically Weighted Regression (GWR). In GWR the relationship between the outcome variable and the covaria...
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Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes. Small area estimation is needed in obtaining information on a small area, such as sub-district or village. Generally, in some cases, small area estimation uses parametric modeling. But in fact, a lot of models have no linear relationship between the small area average and the covariat...
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ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2016
ISSN: 1598-9402
DOI: 10.7465/jkdi.2016.27.2.531