Extreme Values: Statistical Analysis Using R - Wiley Series in Probability and Statistics (Hardback)
  • Extreme Values: Statistical Analysis Using R - Wiley Series in Probability and Statistics (Hardback)
zoom

Extreme Values: Statistical Analysis Using R - Wiley Series in Probability and Statistics (Hardback)

(author), (author)
£60.00
Hardback 384 Pages / Published: 05/07/2019
  • Coming soon

Awaiting publication

  • This item has been added to your basket
The statistical analysis of extremes is becoming more and more prevalent as we observe increasing levels of variability and turbulence, both in the natural world, and within social organizations such as commercial and financial institutions. In this book, full coverage is given to the analysis of extreme value data using R, providing the reader with the best starting point for analyzing data when the aim is inference about extreme values of the underlying process. The main topics in extreme value analysis are featured, together with a clear practical guide on how to implement the relevant statistical analysis using R. The book is aimed at those needing to carry out extreme value analyses, examples used will be taken from applications in engineering, reliability studies and in financial analysis where extremes are of interest (e.g. insurance/reinsurance).

Publisher: John Wiley and Sons Ltd
ISBN: 9780470746455
Number of pages: 384
Dimensions: 229 x 152 mm

You may also be interested in...

Psychology Statistics For Dummies
Added to basket
An Introduction to Statistical Learning
Added to basket
How to Use Statistics
Added to basket
Quantitative Methods
Added to basket
Starting Statistics
Added to basket
£11.99
Paperback
The Signal and the Noise
Added to basket
£10.99   £8.99
Paperback
Naked Statistics
Added to basket
£12.99
Paperback
In All Likelihood
Added to basket
£36.49
Paperback
New Cambridge Statistical Tables
Added to basket
A Dictionary of Statistics 3e
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.