[PDF.94wr] Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height (Ocean Engineering & Oceanography)
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Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height (Ocean Engineering & Oceanography)
Erik Vanem
[PDF.ax95] Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height (Ocean Engineering & Oceanography)
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| #10155043 in Books | 2016-10-07 | 2016-08-23 | Original language:English | PDF # 1 | 9.25 x.67 x6.10l,.0 | File type: PDF | 262 pages||0 of 0 people found the following review helpful.| Vanem needs to code up|By Brendan|I need to translate work by others into my work, and although this may make for some pleasant reading, without code included (as many books now do) that's all it will remain. I don't have time to reproduce the work that Dr. Vanem may have made as part of his dissertation work.
This book provides an example of a thorough statistical treatment of ocean wave data in space and time. It demonstrates 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 structures and uncertainties in the data.
This monograph is a research book and it is partly cross-disciplinary. The methodology itself is firmly rooted in the statistica...
You can specify the type of files you want, for your device.Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height (Ocean Engineering & Oceanography) | Erik Vanem. Which are the reasons I like to read books. Great story by a great author.