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Testing axial symmetry and separability of lattice processes
10 references·0 citing·24 second hop
Testing axial symmetry and separability of lattice processes (2004)Testing axial symmetry and separability o…Testing for separability of spatial–temporal covariance functions (2004)Testing for separability of s…Geostatistics: Modeling Spatial Uncertainty (2000)Geostatistics: Modeling Spati…Analysis of Variety Yield Trials Using Two-Dimensional Separable ARIMA Processes (1996)Analysis of Variety Yield Tri…Statistics for Spatial Data. (1993)Statistics for Spatial Data.Statistics for Spatial Data (1993)Statistics for Spatial DataNoncausal Gauss Markov random fields: parameter structure and estimation (1993)Noncausal Gauss Markov random…STATISTICS FOR SPATIAL DATA (1992)STATISTICS FOR SPATIAL DATASpatial Analysis of Field Experiments-An Extension to Two Dimensions (1991)Spatial Analysis of Field Exp…The use of time-series models and methods in the analysis of agricultural field trials (1990)The use of time-series models…Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Spatial Interaction and the S…Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions (1999)A high frequency kriging approach for non‐stationary environmental processes (2001)Spectral methods for nonstationary spatial processes (2002)A likelihood ratio test for separability of covariances (2005)Nonseparable stationary anisotropic space–time covariance functions (2006)30 Years of space–time covariance functions (2020)Time Series Analysis: Forecasting and Control (1977)Spatial statistics (1981)Regression Models with Spatially Correlated Errors (1994)Enhanced diagnostics for the spatial analysis of field trials (2009)Estimation Methods for Models of Spatial Interaction (1975)Statistical Analysis of Non-Lattice Data (1975)Recovery of Inter-Block Information when Block Sizes are Unequal (1971)OPTIMAL DESIGN FOR EARLY-GENERATION PLANT-BREEDING TRIALS WITH UNREPLICATED OR PARTIALLY REPLICATED TEST LINES (2011)Can Spatial Modeling Substitute for Experimental Design in Agricultural Experiments? (2018)Model-Based Geostatistics (1998)Spatial data analysis: theory and practice (2004)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Methods to account for spatial autocorrelation in the analysis of species distributional data: a review (2007)Local Indicators of Spatial Association—LISA (1995)Cross‐validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure (2016)Statistical Principles for the Design of Experiments (2012)Correcting for spatial heterogeneity in plant breeding experiments with P-splines (2017)Multivariable geostatistics in S: the gstat package (2004)
this work references cited by second hop

References

  • 1992STATISTICS FOR SPATIAL DATA9,140 cited
  • 1993Statistics for Spatial Data6,517 cited
  • 1974Spatial Interaction and the Statistical Analysis of Lattice Systems6,140 cited
  • 1993Statistics for Spatial Data.5,101 cited
  • 2000Geostatistics: Modeling Spatial Uncertainty2,880 cited
  • 1991Spatial Analysis of Field Experiments-An Extension to Two Dimensions324 cited
  • 2004Testing for separability of spatial–temporal covariance functions148 cited
  • 1990The use of time-series models and methods in the analysis of agricultural field trials95 cited
  • 1993Noncausal Gauss Markov random fields: parameter structure and estimation84 cited
  • 1996Analysis of Variety Yield Trials Using Two-Dimensional Separable ARIMA Processes66 cited

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