[图书][B] Statistical techniques for modelling extreme value data and related applications

HM Barakat, OM Khaled, ESM Nigm - 2019 - books.google.com
This book tackles some modern trends and methods in the modelling of extreme data.
Usually such data arise from random phenomena such as floods, hurricanes, air and water …

Limit distributions of generalized order statistics in a stationary Gaussian sequence

EO Abo Zaid, HM Barakat, EM Nigm - Quaestiones Mathematicae, 2018 - Taylor & Francis
In this paper we study the limit distributions of extreme, intermediate and central m-
generalized order statistics, as well as m-dual generalized order statistics, of a stationary …

Limit theory of bivariate dual generalized order statistics with random index

MA Abd Elgawad, HM Barakat, H Qin, T Yan - Statistics, 2017 - Taylor & Francis
The class of limit distribution functions of bivariate extreme, intermediate and central dual
generalized order statistics from independent and identically distributed random variables …

[PDF][PDF] Limit theory for bivariate central and bivariate intermediate dual generalized order statistics

HM Barakat, EM Nigm… - Probab. and Math. Stat., to …, 2015 - math.uni.wroc.pl
Burkschat et al.(2003) have introduced the concept of dual generalized order statistics
(dgos) to unify several models that produce descendingly ordered random variables (rv's) …

[PDF][PDF] Generalized order statistics with random indices in a stationary Gaussian sequence

HM Barakat, EM Nigm… - Applied Mathematics & …, 2016 - naturalspublishing.com
In this paper we study the limit distributions of extreme, intermediate and central m-
generalized order statistics (gos), as well as m-dual generalized order statistics (dgos), of a …

Asymptotic generalized bivariate extreme with random index

MA Abd Elgawad, AM Elsawah, H Qin… - arXiv preprint arXiv …, 2017 - arxiv.org
In many biological, agricultural, military activity problems and in some quality control
problems, it is almost impossible to have a fixed sample size, because some observations …