On Statistical Analysis of Competing Risks with Application to the Time of First Goal

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00466157" target="_blank" >RIV/67985556:_____/16:00466157 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

On Statistical Analysis of Competing Risks with Application to the Time of First Goal

Popis výsledku v původním jazyce

The contribution deals with the analysis and application of the competing risks model. First, the problem of identifiability of marginal and joint distributions of competing random variables is discussed. Then, the notion of copula is recalled and used to express the dependence in the competing risks scheme. Copula model is then utilized to the analysis of times of scoring the first goal in a football (soccer) match. It is assumed that competing latent times are exponentially distributed with parameters depending on attack and defence strengths of teams, while their mutual dependence is described with the aid of a conveniently chosen copula ensuring the model identifiability. As a real example the data from the season 2014-2015 of the Czech premier league (called Synot League) are analyzed.

Název v anglickém jazyce

On Statistical Analysis of Competing Risks with Application to the Time of First Goal

Popis výsledku anglicky

The contribution deals with the analysis and application of the competing risks model. First, the problem of identifiability of marginal and joint distributions of competing random variables is discussed. Then, the notion of copula is recalled and used to express the dependence in the competing risks scheme. Copula model is then utilized to the analysis of times of scoring the first goal in a football (soccer) match. It is assumed that competing latent times are exponentially distributed with parameters depending on attack and defence strengths of teams, while their mutual dependence is described with the aid of a conveniently chosen copula ensuring the model identifiability. As a real example the data from the season 2014-2015 of the Czech premier league (called Synot League) are analyzed.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-14445S" target="_blank" >GA13-14445S: Nové trendy ve stochastických ekonomických modelech za neurčitosti</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Mathematics and Statistical Science,

ISSN

2411-2518

e-ISSN

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Svazek periodika

2

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

606-623

Kód UT WoS článku

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EID výsledku v databázi Scopus

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