A new method to build spatio-temporal covariance functions: analysis of ozone data
From MaRDI portal
Publication:345366
DOI10.1007/S00362-015-0674-2zbMath1373.62562OpenAlexW1983848327MaRDI QIDQ345366
Mohsen Mohammadzadeh, Mehdi Omidi
Publication date: 1 December 2016
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-015-0674-2
Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)
Related Items (3)
Optimizing minimum information pair-copula using genetic algorithm to select optimal basis functions ⋮ Nonparametric relative error regression for spatial random variables ⋮ An efficient method based on RBFs for multilayer data interpolation with application in air pollution data analysis
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Box-Cox transformation for spatial linear models: a study on lattice data
- How to improve the fit of Archimedean copulas by means of transforms
- Optimization of fuzzy model using genetic algorithm for process control application
- An introduction to copulas.
- New classes of covariance and spectral density functions for spatio-temporal modelling
- On a criticism of the profile likelihood function
- Quasi-arithmetic means of covariance functions with potential applications to space-time data
- Families of spatio-temporal stationary covariance models.
- Nonseparable space-time covariance models: Some parametric families
- Spatio-temporal covariance functions generated by mixtures
- The dimple in Gneiting's spatial-temporal covariance model
- A Class of Convolution-Based Models for Spatio-Temporal Processes with Non-Separable Covariance Structure
- Completely monotonic functions
- Nonseparable, Stationary Covariance Functions for Space–Time Data
- Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
- Practical Genetic Algorithms
- Linear combinations of space-time covariance functions and variograms
- Statistical Methods for Regular Monitoring Data
- Spatio-temporal variograms and covariance models
- Space–Time Covariance Functions
- Space-time analysis using a general product-sum model.
- Theory of genetic algorithms
This page was built for publication: A new method to build spatio-temporal covariance functions: analysis of ozone data