Goodness-of-fit tests for the spatial spectral density
From MaRDI portal
Publication:2001998
DOI10.1007/s00477-008-0300-0zbMath1416.62544OpenAlexW2073365879MaRDI QIDQ2001998
Wenceslao González Manteiga, Rosa M. Crujeiras, Rubén Fernández-Casal
Publication date: 11 July 2019
Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00477-008-0300-0
Inference from spatial processes (62M30) Inference from stochastic processes and spectral analysis (62M15)
Related Items (5)
Assessing fit in Bayesian models for spatial processes ⋮ A general frequency domain method for assessing spatial covariance structures ⋮ Goodness-of-fit tests for the spatial spectral density ⋮ Statistical inference and visualization in scale-space for spatially dependent images ⋮ A nonparametric spectral domain test of spatial isotropy
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A consistent test of functional form via nonparametric estimation techniques
- Nonparametric spectrum estimation for spatial data
- A central limit theorem for generalized quadratic forms
- Correlation theory of stationary and related random functions. Volume I: Basic results
- Comparing nonparametric versus parametric regression fits
- Testing the hypothesis of a general linear model using nonparametric regression estimation
- Nonparametric model checks for regression
- Nonparametric smoothing and lack-of-fit tests
- Local linear regression estimation of the variogram.
- A power comparison between nonparametric regression tests.
- Nonparametric kernel estimation of an isotropic variogram.
- Exploring a valid model for the variogram of an isotropic spatial process
- Asymptotically optimal estimation in misspecified time series models
- Generalized likelihood ratio statistics and Wilks phenomenon
- Goodness-of-fit tests for the spatial spectral density
- On the Use of the Variogram in Checking for Independence in Spatial Data
- On the Second Order Properties of the Multidimensional Periodogram for Regularly Spaced Data
- Edge effects and efficient parameter estimation for stationary random fields
- Bootstrap Approximations in Model Checks for Regression
- Parameter estimation for a stationary process on a d-dimensional lattice
- A subclass of lattice processes applied to a problem in planar sampling
- Estimation and smoothing from incomplete data for a class of lattice processes
- Spectral methods for nonstationary spatial processes
- Spectral Density Based Goodness‐of‐Fit Tests for Time Series Models
- Statistics for Spatial Data
- On the estimation of the spectral density for continuous spatial processes
- Generalised likelihood ratio tests for spectral density
- ON STATIONARY PROCESSES IN THE PLANE
This page was built for publication: Goodness-of-fit tests for the spatial spectral density
