تصحيح اريبي برآورد پارامترهاي تغييرنگار به روش بوت استرپ بلوك مجزا براي پيشگويي فضايي

Bias Correction of Variogram Parameters Estimates by Separate Block Bootstrap Method for Spatial Prediction

In spatial analysis, the variograin function that determines the spatial correlation structure of the data is usually unknown and it should be estimated by observations. Although there are several estimation methods for variogram parameters, limited number of observations produce in much uncertainty in variogram parameter estimates and finally non-precision of the spatial prediction. In this paper, precision measures of the weighted least squares estimates of variogram parameters are determined by separate block bootstrap method. Next, these estimates are corrected using precision measures. Then, it is shown by cross-validation method that using a variogram with corrected parameter estimates will result in increasing spatial prediction precision.