venice

<p>The <code>venice</code> data contains the 10 largest yearly sea levels (in cm)
from 1887 until 2019. Only the yearly maximum is available for 1922
and the six largest observations for 1936.</p>

Various tools for the analysis of univariate, multivariate and functional extremes. Exact simulation from max-stable processes [Dombry, Engelke and Oesting (2016) <doi:10.1093/biomet/asw008>, R-Pareto processes for various parametric models, including Brown-Resnick (Wadsworth and Tawn, 2014, <doi:10.1093/biomet/ast042>) and Extremal Student (Thibaud and Opitz, 2015, <doi:10.1093/biomet/asv045>). Threshold selection methods, including Wadsworth (2016) <doi:10.1080/00401706.2014.998345>, and Northrop and Coleman (2014) <doi:10.1007/s10687-014-0183-z>. Multivariate extreme diagnostics. Estimation and likelihoods for univariate extremes, e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>.

Leo Belzile

Modelling of Extreme Values

Jennifer L. Wadsworth

Paul J. Northrop

Scott D. Grimshaw

Jin Zhang

Michael A. Stephens

Art B. Owen

Raphael Huser

venice function

<p>a data frame with 133 rows and 11 columns containing the year of the measurement (first column)
and ordered 10-largest yearly observations, reported in decreasing order from largest (<code>r1</code>) to smallest (<code>r10</code>).</p>

Format

Venice Sea Levels — venice

Venice Sea Levels

venice: Venice Sea Levels

Description

Arguments

Format

References

See Also