Statistical analysis of competing risks in an unemployment study
Result description
This study is concerned with the analysis of dependence of random variables - latent times to events, in a competing risks case. We discuss first the problem of identifiability of marginal and joint distributions of competing random variables. Then, thecopula models are utilized in order to express the dependence. Finally, the Gauss copula is used to solution of a real example with unemployment data.
Keywords
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Statistical analysis of competing risks in an unemployment study
Original language description
This study is concerned with the analysis of dependence of random variables - latent times to events, in a competing risks case. We discuss first the problem of identifiability of marginal and joint distributions of competing random variables. Then, thecopula models are utilized in order to express the dependence. Finally, the Gauss copula is used to solution of a real example with unemployment data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
GA13-14445S: New Trends in Stochastic Economic Models under Uncertainty
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedings of the 33rd International Conference Mathematical Methods in Economics MME 2015
ISBN
978-80-261-0539-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
882-887
Publisher name
University of West Bohemia, Plzeň
Place of publication
Plzeň
Event location
Cheb
Event date
Sep 9, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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Basic information
Result type
D - Article in proceedings
CEP
BB - Applied statistics, operational research
Year of implementation
2015