%0 Journal Article
%A Mohammadian Mosammam, Ali
%A Mohammadi, Serve
%T Estimating of Spatial Covariance Function Using Block Differenced Composite Likelihood
%J Journal of Statistical Sciences
%V 12
%N 2
%U http://jss.irstat.ir/article-1-394-en.html
%R 10.29252/jss.12.2.513
%D 2019
%K Spatial Statistics, Stationary, Isotropic, Godambe Information, Block Composite Likelihood.,
%X In this paper parameters of spatial covariance functions have been estimated using block composite likelihood method. In this method, the block composite likelihood is constructed from the joint densities of paired spatial blocks. For this purpose, after differencing data, large data sets are splited into many smaller data sets. Then each separated blocks evaluated separately and finally combined through a simple summation. The advantage of this method is that there is no need to inverse and to find determination of high dimensional matrices. The simulation shows that the block composite likelihood estimates as well as the pair composite likelihood. Finally a real data is analysed.
%> http://jss.irstat.ir/article-1-394-en.pdf
%P 513-525
%& 513
%! Estimating of Spatial Covariance Function Using Block Differenced Composite Likelihood
%9 Research
%L A-10-798-1
%+ Department of Statictics, University of Zanjan, Zanjan , Iran.
%G eng
%@ 1735-8183
%[ 2019