Bayesian Hierarchical Space-Time Models with Application to by Erik Vanem (auth.)

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By Erik Vanem (auth.)

This publication offers an instance of a radical statistical therapy of ocean wave information in house and time. It demonstrates how the versatile framework of Bayesian hierarchical space-time versions will be utilized to oceanographic tactics comparable to major wave top to be able to describe dependence buildings and uncertainties within the data.

This monograph is a study booklet and it truly is partially cross-disciplinary. The technique itself is firmly rooted within the statistical learn culture, in keeping with chance conception and stochastic approaches. although, that method has been utilized to an issue within the box of actual oceanography, studying information for major wave peak, that's of the most important value to ocean engineering disciplines. certainly, the statistical homes of vital wave top are vital for the layout, development and operation of ships and different marine and coastal constructions. moreover, the e-book addresses the query of no matter if weather swap has an influence of the sea wave weather, and if that is so what that impact can be. hence, this ebook is a crucial contribution to the continued debate on weather swap, its implications and the way to evolve to a altering weather, with a specific specialise in the maritime industries and the marine setting.

This publication might be of price to an individual with an curiosity within the statistical modelling of environmental techniques, and specifically to these with an curiosity within the ocean wave weather. it really is written on a degree that are meant to be comprehensible to every body with a easy heritage in records or effortless arithmetic, and an advent to a couple easy innovations is equipped within the appendices for the uninitiated reader. The meant readership comprises scholars and execs concerned with information, oceanography, ocean engineering, environmental examine, weather sciences and threat overview. furthermore, the book’s findings are appropriate for numerous stakeholders within the maritime industries comparable to layout workplaces, type societies, send proprietors, yards and operators, flag states and intergovernmental companies equivalent to the IMO.

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

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Also, the fact that the sea state is normally described through different average and extreme properties, as discussed briefly above, indicates that statistical tools are appropriate to model waves and sea states. A comprehensive overview of statistical techniques, methodologies, theories and tools used in climatic analyses is presented in [27]. Stochastic modeling of ocean waves can be performed on two very different time scales. In the short-term models, the parameters of most concern may be those for individual waves such as individual wave height, wave length, and period, etc.

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