Abstract
In this chapter we present the main statistical methods used to deal with the three types of data seen in earlier chapters. As well as general statistical methods that can be applied to various structures (maximum likelihood, minimum contrast, least squares, estimation of generalized linear models, the method of moments), we have specific techniques for each type of structure: variogram clouds in geostatistics, conditional pseudo-likelihood, Markov random field coding, nearest-neighbor distances, composite likelihood for PPs, etc. We will present each method in turn.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Gaetan, C., Guyon, X. (2010). Statistics for spatial models. In: Spatial Statistics and Modeling. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-92257-7_5
Download citation
DOI: https://doi.org/10.1007/978-0-387-92257-7_5
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-92256-0
Online ISBN: 978-0-387-92257-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)