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Copula process, Archimedean. / Malov, Sergey V.

Wiley StatsRef: Statistics Reference Online. Wiley-Blackwell, 2015.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в энциклопедии, словаре, справочникеинаяРецензирование

Harvard

Malov, SV 2015, Copula process, Archimedean. в Wiley StatsRef: Statistics Reference Online. Wiley-Blackwell. https://doi.org/DOI: 10.1002/9781118445112.stat01204.pub2

APA

Malov, S. V. (2015). Copula process, Archimedean. в Wiley StatsRef: Statistics Reference Online Wiley-Blackwell. https://doi.org/DOI: 10.1002/9781118445112.stat01204.pub2

Vancouver

Malov SV. Copula process, Archimedean. в Wiley StatsRef: Statistics Reference Online. Wiley-Blackwell. 2015 https://doi.org/DOI: 10.1002/9781118445112.stat01204.pub2

Author

Malov, Sergey V. / Copula process, Archimedean. Wiley StatsRef: Statistics Reference Online. Wiley-Blackwell, 2015.

BibTeX

@inbook{dbe6658dbbb94787b24180df09b80805,
title = "Copula process, Archimedean.",
abstract = "Archimedean copulas have a wide range of applications in probability theory and in mathematical statistics. A copula arose first in the work of Sklar in 1959. It is the function that characterizes principal connection of components in a random vector independently of marginal distributions. Archimedean copula process was introduced as a generalization of the scheme of independent random variables. The most of interesting applications of this object was in the order statistics theory and in the extreme values theory. The extreme type theorems and some characterizations of classes of sequences via properties of order statistics and record values can be improved from the class of independent random variables to the class of Archimedean copula processes. In this way, the proportional Archimedean copula process appeared as the generalization of the inline image-scheme for independent random variables. Some representations of the Archimedean copula process via independent random variables as well as MTPinline image",
keywords = "copula, Archimedean copula, Archimedean copula process, Fα-scheme, proportional Archimedean copula process, order statistics, records, ranks, extremal type theorem, positive dependence",
author = "Malov, {Sergey V.}",
year = "2015",
doi = "DOI: 10.1002/9781118445112.stat01204.pub2",
language = "English",
booktitle = "Wiley StatsRef: Statistics Reference Online",
publisher = "Wiley-Blackwell",
address = "United States",

}

RIS

TY - CHAP

T1 - Copula process, Archimedean.

AU - Malov, Sergey V.

PY - 2015

Y1 - 2015

N2 - Archimedean copulas have a wide range of applications in probability theory and in mathematical statistics. A copula arose first in the work of Sklar in 1959. It is the function that characterizes principal connection of components in a random vector independently of marginal distributions. Archimedean copula process was introduced as a generalization of the scheme of independent random variables. The most of interesting applications of this object was in the order statistics theory and in the extreme values theory. The extreme type theorems and some characterizations of classes of sequences via properties of order statistics and record values can be improved from the class of independent random variables to the class of Archimedean copula processes. In this way, the proportional Archimedean copula process appeared as the generalization of the inline image-scheme for independent random variables. Some representations of the Archimedean copula process via independent random variables as well as MTPinline image

AB - Archimedean copulas have a wide range of applications in probability theory and in mathematical statistics. A copula arose first in the work of Sklar in 1959. It is the function that characterizes principal connection of components in a random vector independently of marginal distributions. Archimedean copula process was introduced as a generalization of the scheme of independent random variables. The most of interesting applications of this object was in the order statistics theory and in the extreme values theory. The extreme type theorems and some characterizations of classes of sequences via properties of order statistics and record values can be improved from the class of independent random variables to the class of Archimedean copula processes. In this way, the proportional Archimedean copula process appeared as the generalization of the inline image-scheme for independent random variables. Some representations of the Archimedean copula process via independent random variables as well as MTPinline image

KW - copula

KW - Archimedean copula

KW - Archimedean copula process

KW - Fα-scheme

KW - proportional Archimedean copula process

KW - order statistics

KW - records

KW - ranks

KW - extremal type theorem

KW - positive dependence

U2 - DOI: 10.1002/9781118445112.stat01204.pub2

DO - DOI: 10.1002/9781118445112.stat01204.pub2

M3 - Entry for encyclopedia/dictionary

BT - Wiley StatsRef: Statistics Reference Online

PB - Wiley-Blackwell

ER -

ID: 4749985