–DOX
发表于 2025-3-23 12:08:55
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明确
发表于 2025-3-23 14:59:23
https://doi.org/10.1007/978-3-642-30253-462P12, 60K40, 86A32, 60H30, 60G15; Bayesian hierarchical modelling; Climate change; Ocean waves; Probabi
不理会
发表于 2025-3-23 20:11:50
978-3-662-52197-7Springer-Verlag Berlin Heidelberg 2013
流眼泪
发表于 2025-3-24 00:29:38
Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height978-3-642-30253-4Series ISSN 2194-6396 Series E-ISSN 2194-640X
epidermis
发表于 2025-3-24 06:07:43
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轻浮思想
发表于 2025-3-24 09:09:23
Including a Log-Transform of the Data,here are two main motivations for this; performing a log-transform of the data yields a model with greater estimated trends for rougher sea states compared to more moderate conditions and the log-transform could account for observed heteroscedasticity in the data. This chapter is based on material previously presented in [., .].
最后一个
发表于 2025-3-24 11:47:47
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FOVEA
发表于 2025-3-24 18:09:42
Bayesian Hierarchical Modeling of the Ocean Windiness, significant wave height is not due to an increase in locally generated wind waves, but rather to increased swell. This observation is also consistent with studies that have suggested a poleward shift of the main storm tracks.
Hirsutism
发表于 2025-3-24 22:38:34
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insert
发表于 2025-3-24 23:29:42
Book 2013tal 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 c