Pages that link to "Item:Q1766124"
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The following pages link to On optimal spatial subsample size for variance estimation (Q1766124):
Displaying 18 items.
- Bias expansion of spatial statistics and approximation of differenced lattice point counts (Q353996) (← links)
- Resampling methods for spatial regression models under a class of stochastic designs (Q449947) (← links)
- An empirical likelihood method for spatial regression (Q451300) (← links)
- A comparison of block and semi-parametric bootstrap methods for variance estimation in spatial statistics (Q452632) (← links)
- Bootstrapping the empirical distribution function of a spatial process (Q882912) (← links)
- Bootstrapping an inhomogeneous point process (Q1044067) (← links)
- Subsampling weakly dependent time series and application to extremes (Q1761535) (← links)
- On optimal spatial subsample size for variance estimation (Q1766124) (← links)
- Frequency domain bootstrap methods for random fields (Q2074338) (← links)
- Uncertainty quantification in robust inference for irregularly spaced spatial data using block bootstrap (Q2316975) (← links)
- A frequency domain empirical likelihood method for irregularly spaced spatial data (Q2343954) (← links)
- Computation of lacunarity from covariance of spatial binary maps (Q2419844) (← links)
- (Q3580857) (← links)
- Subsampling Variance Estimation for Non‐stationary Spatial Lattice Data (Q3608251) (← links)
- Inference under pivotal sampling: Properties, variance estimation, and application to tesselation for spatial sampling (Q4994808) (← links)
- The Dependent Random Weighting (Q5251502) (← links)
- Self‐normalization for Spatial Data (Q5418627) (← links)
- Scalable semiparametric spatio-temporal regression for large data analysis (Q6050902) (← links)
