Bivariate q- generalized extreme value distribution: A comparative approach with applications to climate related data

Bivariate q- generalized extreme value distribution: A comparative approach with applications to climate related data

The premise of extreme value theory focuses on the stochastic behaviour and occurrence of extreme observations in an event that is random. Traditionally for univariate case, the behaviour of the maxima is described either by the types-I, types-II or types-III extreme value distributions, primarily k...

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Bibliographic Details
Main Authors: Laila A. Al-Essa, Abdus Saboor, Muhammad H. Tahir, Sadaf Khan, Farrukh Jamal, Ahmed Elhassanein
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Generalized extreme value distributions
Goodness–of–fit statistic
Gumbel distribution
Bi-variate distribution
Moments
Monte Carlo simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024036909

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http://www.sciencedirect.com/science/article/pii/S2405844024036909

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