Pages that link to "Item:Q962275"
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The following pages link to Least squares estimation of nonlinear spatial trends (Q962275):
Displaying 17 items.
- Effective sample size for line transect sampling models with an application to marine macroalgae (Q321444) (← links)
- The signature of endemic populations in the spread of mountain pine beetle outbreaks (Q829043) (← links)
- Linear spatial interpolation: Analysis with an application to San Joaquin Valley (Q1111889) (← links)
- Effective sample size for spatial regression models (Q1616305) (← links)
- Nonparametric inference in small data sets of spatially indexed curves with application to ionospheric trend determination (Q1621207) (← links)
- Quasi-generalized least squares regression estimation with spatial data (Q1673550) (← links)
- Variogram estimation in the presence of trend (Q1708914) (← links)
- Local linear estimation for spatial random processes with stochastic trend and stationary noise (Q1711619) (← links)
- A computational validation for nonparametric assessment of spatial trends (Q2135946) (← links)
- A goodness-of-fit test for regression models with spatially correlated errors (Q2220799) (← links)
- Estimation of the trend function and auto-covariance for spatial models (Q2280093) (← links)
- M-estimation for linear models with spatially-correlated errors (Q2567189) (← links)
- Efficient estimation of nonparametric spatial models with general correlation structures (Q4603616) (← links)
- Variance Estimation in Spatial Regression Using a Non-parametric Semivariogram Based on Residuals (Q4677102) (← links)
- Pseudo Best Estimator by a Separable Approximation of Spatial Covariance Structures (Q5248880) (← links)
- Estimation of the trend function for spatio-temporal models (Q5321919) (← links)
- Random Forests for Spatially Dependent Data (Q6107238) (← links)
