Abstract
The main objective of this research is to develop a Logit-Normal model with spatial effects. Spatial effects are characterized by a spatial weighted matrix. The weighted matrix used is the distance of the amount of auxiliary variables of area. It was used to estimate the proportion/parameters using Hierarchical Bayesian method. The design of the research is a case study. Data used in the case study is poverty data in Bengkulu Province. The results show that the spatial effect can improve the value of the Root Mean Square Error.
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