Abstract
We introduce basic statistical methods for the extrapolation of stationary random fields. For square integrable fields, we consider kriging extrapolation techniques. For (non–Gaussian) stable fields, which are known to be heavy-tailed, we describe further extrapolation methods and discuss their properties. Two of them can be seen as direct generalizations of kriging.
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
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Spodarev, E., Shmileva, E., Roth, S. (2015). Extrapolation of Stationary Random Fields. In: Schmidt, V. (eds) Stochastic Geometry, Spatial Statistics and Random Fields. Lecture Notes in Mathematics, vol 2120. Springer, Cham. https://doi.org/10.1007/978-3-319-10064-7_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-10064-7_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10063-0
Online ISBN: 978-3-319-10064-7
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)