Transcription of An Introduction to Extreme Value Statistics
{{id}} {{{paragraph}}}
Example: biology
An Introduction to Extreme Value Statistics
An Introduction to Extreme Value StatisticsMarielle Pinheiro and Richard GrotjahniiThis tutorial is a basic Introduction to Extreme Value analysis and the R package,extRemes. Extreme valueanalysis has application in a number of different disciplines ranging from finance to hydrology, but here theexamples will be presented in the form of climate will begin with a brief background on Extreme Value analysis, presenting the two main methods andthen proceeding to show examples of each method. Readers interested in a more detailed explanation of themath should refer to texts such as Coles 2001 [1], which is cited frequently in the Gilleland and [2] detailing the various tools provided in theextRemespackage. Also, theextRemesdocumentation,which is useful for functions syntax, can be found guidance on the R syntax and R scripting, many resources are available online.
a Gumbel, Fr echet, or Weibull1 distribution will be produced. The second method, GP, looks at values that exceed a de ned threshold2; depending on the shape parameter, an Exponential, Pareto, or Beta distribution will be produced.
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: