The following pages link to Kriging Nonstationary Data (Q3028153):
Displaying 19 items.
- Treatment of geophysical data as a non-stationary process (Q539661) (← links)
- Existence of smoothed stationary processes on an interval (Q911145) (← links)
- The use of geographically weighted regression for spatial prediction: an evaluation of models using simulated data sets (Q993426) (← links)
- Some results on the spatial breakdown point of robust point estimates of the variogram (Q1035754) (← links)
- A comparison of Kriging with nonparametric regression methods (Q1074990) (← links)
- Mean squared prediction error in the spatial linear model with estimated covariance parameters (Q1206629) (← links)
- An \(L_ 1\) smoothing spline algorithm with cross validation (Q1315221) (← links)
- LOWLAD: A locally weighted \(L_ 1\) smoothing spline algorithm with cross validated choice of smoothing parameters (Q1893530) (← links)
- Choosing among two-dimensional smoothers in practice (Q1896195) (← links)
- Comparing and generating Latin hypercube designs in kriging models (Q2006879) (← links)
- A new type of conditioning of stationary fields and its application to the spectral simulation approach in geostatistics (Q2040708) (← links)
- A new non-stationary high-order spatial sequential simulation method (Q2676517) (← links)
- Interpolation and optimal linear prediction (Q3201383) (← links)
- Maximum likelihood estimation with missing spatial data and with an application to remotely sensed data (Q3473099) (← links)
- Analyzing non-stationarity in cement stone pit by median polish interpolation: a case study (Q5128592) (← links)
- Spatial prediction and ordinary kriging (Q5932834) (← links)
- To be or not be\(\ldots\)stationary? That is the question (Q5932841) (← links)
- Computationally efficient restricted maximum likelihood estimation of generalized covariance functions (Q5935020) (← links)
- Inner product matrices, kriging, and nonparametric estimation of variogram (Q5935073) (← links)
