Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
This book provides an example of a thorough statistical treatment in space and time of ocean wave data. It is demonstrated how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographic processes such as significant wave height in order to describe dependence s...
| Main Author: | Vanem, Erik (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
| Series: | Ocean Engineering & Oceanography,
2 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Multivariate Time Series With Linear State Space Structure
by: Gómez, Víctor
Published: (2016) -
Topics in Percolative and Disordered Systems
Published: (2014) -
Design and Analysis of Experiments
by: Dean, Angela, et al.
Published: (2017) -
Probability with Applications in Engineering, Science, and Technology
by: Carlton, Matthew A., et al.
Published: (2017) -
Stochastic Models, Statistics and Their Applications Wrocław, Poland, February 2015 /
Published: (2015)