LIFE EXPECTANCY MODELING USING MODIFIED SPATIAL AUTOREGRESSIVE MODEL

نویسندگان

چکیده

The presence of outliers will affect the parameter estimation results and model accuracy. It also occurs in spatial regression model, especially Spatial Autoregressive (SAR) model. is a where effects are attached to dependent variable. Removing analysis eliminate necessary information. Therefore, solution offered modify SAR by giving special treatment observations that have potentially become outliers. This study develops modeling life expectancy data Central Java Province using modified autoregressive with Mean-Shift Outlier Model (MSOM) approach. Outliers detected MSOM method. Then result used as basis for modifying modification, principle, reduce or increase average observed indicated show can improve accuracy compared original be proved increased coefficient determination decreasing Akaike Information Criterion (AIC) value In addition, skewness kurtosis values residuals getting closer Normal distribution.

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ژورنال

عنوان ژورنال: Media statistika

سال: 2022

ISSN: ['2477-0647']

DOI: https://doi.org/10.14710/medstat.15.1.72-82