Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height

Language: English

Published by Springer Berlin Heidelberg Okt 2013, 2013

3642302521 / 9783642302527

Series: Book 1 of 13 - Ocean Engineering & Oceanography

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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 statistical research tradition, based on probability theory and stochastic processes. However, that methodology has been applied to a problem in the field of physical oceanography, analyzing data for significant wave height, which is of crucial importance to ocean engineering disciplines. Indeed, the statistical properties of significant wave height are important for the design, construction and operation of ships and other marine and coastal structures. Furthermore, the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what that effect might be. Thus, this book is an important contribution to the ongoing debate on climate change, its implications and how to adapt to a changing climate, with a particular focus on the maritime industries and the marine environment. This book should be of value to anyone with an interest in the statistical modelling of environmental processes, and in particular to those with an interest in the ocean wave climate. It is written on a level that should be understandable to everyone with a basic background in statistics or elementary mathematics, and an introduction to some basic concepts is provided in the appendices for the uninitiated reader. The intended readership includes students and professionals involved in statistics, oceanography, ocean engineering, environmental research, climate sciences and risk assessment. Moreover, the book's findings are relevant for various stakeholders in the maritime industries such as design offices, classification societies, ship owners, yards and operators, flag states and intergovernmental agencies such as the IMO. 284 pp. Englisch.

Seller Inventory # 9783642302527

Title
Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height
Author
Erik Vanem
Publisher
Springer Berlin Heidelberg Okt 2013
Publication year
2013
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3642302521
ISBN 13
9783642302527
Item weight
594 grams
Dimensions
241x160x20 mm
Series
Book 1 of 13: Ocean Engineering & Oceanography

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
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BuchWeltWeit Ludwig Meier e.K.

Germany