A Comparison between the Penalty Slice Regression (PS) and the Local Linear Estimator (LLE) for Estimating the Durbani Semi-Parametric Mode
DOI:
https://doi.org/10.31272/jae.i143.1225Keywords:
Durban Model SDM, partial slice regression, positional linear estimator, maximum possibility MLE, square root mean square error , RMSEAbstract
This research dealt with a comparison between the penalty slice regression (PS) and the local linear estimator (LLE) method to estimate the Durban spatial semi-parametric regression model (SDM) and find out which is the best. In the different sizes of the three samples used, where three sizes of samples (45, 75, 150) were used, as well as three values of spatial dependence, which are (0.25, 0.5, 0.9) and three values of variance (0.2, 0.5, 0.8), and the experiment was repeated (1000) times to obtain more accurate results.
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