Volume 18, Issue 48 (No.3&4-صفحات انگلیسی از 149 تا 170 2007)
2007, 18(48): 653-665 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Separate Block Bootstrap Method in Spatial Statistics. Journal title 2007; 18 (48) :653-665
URL: http://jsci.khu.ac.ir/article-1-1186-en.html
URL: http://jsci.khu.ac.ir/article-1-1186-en.html
Abstract: (5106 Views)
Efron's bootstrap method can only be used to estimate the precision measures of estimators when observations are independent. For spatial data that are spatially correlated, the moving block bootstrap method is usually used. But, in this method, the boundary observations have less chance of presence in blocks resampling than the other observations. In this paper, the new separate block bootstrap method is introduced and an algorithm is given for estimating the precision measures of estimators. A simulation study is carried out to compare the efficiency of the separate block bootstrap method with moving block bootstrap. It is shown that, with their method we can estimate the bias of sample mean with no error, and the estimator for variance of sample mean is consistent.
Published: 2007/02/15
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
