000 04550nam a22004695i 4500
001 978-3-642-30253-4
003 DE-He213
005 20140220082848.0
007 cr nn 008mamaa
008 131010s2013 gw | s |||| 0|eng d
020 _a9783642302534
_9978-3-642-30253-4
024 7 _a10.1007/978-3-642-30253-4
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aPD
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aVanem, Erik.
_eauthor.
245 1 0 _aBayesian Hierarchical Space-Time Models with Application to Significant Wave Height
_h[electronic resource] /
_cby Erik Vanem.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aXX, 262 p. 85 illus., 14 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aOcean Engineering & Oceanography,
_x2194-6396 ;
_v2
505 0 _aPreface -- Acronyms -- 1.Introduction and Background -- 2.Literature Survey on StochasticWave Models -- 3.A Bayesian Hierarchical Space-Time Model for Significant Wave Height -- 4.Including a Log-Transform of the Data -- 6.Bayesian Hierarchical Modelling of the Ocean Windiness -- 7.Application: Impacts on Ship Structural Loads -- 8.Case study: Modelling the Effect of Climate Change on the World’s Oceans -- 9.Summary and Conclusions -- A.Markov Chain Monte Carlo Methods -- B.Extreme Value Modelling -- C.Markov Random Fields -- D.Derivation of the Full Conditionals of the Bayesian Hierarchical Space-Time Model for Significant Wave Height -- E.Sampling from a Multi-normal Distribution.
520 _aThis 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 structures and uncertainties in the data. This monograph is a research book and it is in some sense cross-disciplinary. The methodology itself is firmly rooted in the statistical research tradition, based on probability theory and stochastic processes. However, the methodology has been applied to a problem within physical oceanography, analysing data for significant wave height, which are 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 these effects might be. Thus, this book is an important contribution to the on-going 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 general interest to anyone with an interest in statistical modelling of environmental processes, and in particular to those with a particular 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 given in appendices for the uninitiated reader. The intended readership incudes students and professionals involved in statistics, oceanography, ocean engineering, environmental research, climate sciences and risk assessment. Moreover, different stakeholders within the maritime industries such as design offices, classification societies, ship owners, yards and operators, flag states and intergovernmental agencies such as the IMO might find the results relevant.
650 0 _aStatistics.
650 0 _aDistribution (Probability theory).
650 1 4 _aStatistics.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aProbability Theory and Stochastic Processes.
650 2 4 _aGeophysics and Environmental Physics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642302527
830 0 _aOcean Engineering & Oceanography,
_x2194-6396 ;
_v2
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-30253-4
912 _aZDB-2-SMA
999 _c96978
_d96978