Modelling Malnutrition Toddlers in East Java Province using Spatial Regression

Karim, Abdul, Abd and Wasono, Rochdi, Roc (2016) Modelling Malnutrition Toddlers in East Java Province using Spatial Regression. Artikel Ilmiah.

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Abstract An analysis of regression modeling which influenced by the characteristics of the region is very important, that modeling is the spatial autoregressive model. One type of regression model is a Spatial Regression, which performs a lag effect of the independent variables. This research will determine the factors that affect the incident of malnutrition toddlers in East Java Province using Spatial Regression, model was developed because the dependencies in the spatial relationships on the independent variables. The data is used the value of malnutrition toddlers 38 districts and city in the province of East Java, there were a spatial autocorrelation on malnutrition toddlers and the factors variable that influence it. The results of spatial regression showed that the lag in the independent variables significantly affected, these lag independent variables were source of the percentage of babies received vitamin A, the mother got a Tablet Fe, examination of neonates (KN1). Keywords : malnutrition, regression spatial.

Item Type: Article
Subjects: L Education > Statistics
Divisions: Faculty of Agricultural Science and Technology > S1 Statistics
Depositing User: Users 1 not found.

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