Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height pp 107-129 | Cite as
Including a Log-Transform of the Data
Chapter
First Online:
Abstract
In this chapter, the Bayesian hierarchical space-time model developed in Chap. 3 has been fitted to log-transformed data of significant wave height. There 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 [13, 14].
Keywords
Credible Interval Bias Correction Significant Wave Height Expected Increase Seasonal Component
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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