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Optimum Block Size in Separate Block Bootstrap to Estimate the Variance of Sample Mean for Lattice Data
The statistical analysis of spatial data is usually done under Gaussian assumption for the underlying random field model. When this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. One of the crucial problems in this setting is specifying the block sizes. In this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...
متن کاملoptimum block size in separate block bootstrap to estimate the variance of sample mean for lattice data
the statistical analysis of spatial data is usually done under gaussian assumption for the underlying random field model. when this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data. one of the crucial problems in this setting is specifying the block sizes. in this paper, we present asymptotic optimal block size for separate block bootstrap to estimate the...
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ژورنال
عنوان ژورنال: Nature Nanotechnology
سال: 2017
ISSN: 1748-3387,1748-3395
DOI: 10.1038/nnano.2017.93