Extremes in Random Fields Extremes in Random Fields
Wiley Series in Probability and Statistics

Extremes in Random Fields

A Theory and Its Applications

    • ¥13,800
    • ¥13,800

Publisher Description

Presents a useful new technique for analyzing the extreme-value behaviour of random fields

Modern science typically involves the analysis of increasingly complex data. The extreme values that emerge in the statistical analysis of complex data are often of particular interest. This book focuses on the analytical approximations of the statistical significance of extreme values. Several relatively complex applications of the technique to problems that emerge in practical situations are presented.  All the examples are difficult to analyze using classical methods, and as a result, the author presents a novel technique, designed to be more accessible to the user.

Extreme value analysis is widely applied in areas such as operational research, bioinformatics, computer science, finance and many other disciplines. This book will be useful for scientists, engineers and advanced graduate students who need to develop their own statistical tools for the analysis of their data. Whilst this book may not provide the reader with the specific answer it will inspire them to rethink their problem in the context of random fields, apply the method, and produce a solution.

GENRE
Science & Nature
RELEASED
2013
August 1
LANGUAGE
EN
English
LENGTH
256
Pages
PUBLISHER
Wiley
SELLER
John Wiley & Sons, Inc.
SIZE
9.4
MB
Stochastic Numerical Methods Stochastic Numerical Methods
2014
Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance
2019
Introduction to Bayesian Estimation and Copula Models of Dependence Introduction to Bayesian Estimation and Copula Models of Dependence
2017
Statistical Implications of Turing's Formula Statistical Implications of Turing's Formula
2016
Probability Probability
2021
Statistics for Technology Statistics for Technology
2018
Handbook of Regression Analysis With Applications in R Handbook of Regression Analysis With Applications in R
2020
Reinsurance Reinsurance
2017
Statistical Shape Analysis Statistical Shape Analysis
2016
Multivariate Density Estimation Multivariate Density Estimation
2015
Applied Longitudinal Analysis Applied Longitudinal Analysis
2012
Applied Linear Regression Applied Linear Regression
2013