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Application of Cox regression model to grouped unemployment data
- 1.0411212 - UTIA-B 20030199 RIV SI eng C - Conference Paper (international conference)
Volf, Petr
Application of Cox regression model to grouped unemployment data.
Ljublana: Slovenian Society Informatika, 2003. ISBN 961-6165-15-1. In: Proceedings of the 7th International Symposium on Operational Research. - (Zadnik-Stirn, L.; Bastič, M.; Drobne, S.), s. 301-306
[International Symposium on Operational Research /7./ SOR'03. Podčetrtek (SI), 24.09.2003-26.09.2003]
R&D Projects: GA ČR GA402/01/0539
Institutional research plan: CEZ:AV0Z1075907
Keywords : mathematical statistics * unemployment * Cox regression model
Subject RIV: BB - Applied Statistics, Operational Research
The present paper proposes the use of the Cox regression model for the description of dynamics of unemployment data, namely the case of aggregated data when both the numbers of followed objects and the numbers of observed events are summarized in discrete time periods and covariate classes. The formulation of the model, the procedure of estimation of its parameters, the prediction and tests of fit will be presented. A numerical example shows the analysis of unemployment data from CR in 1993-1999.
Permanent Link: http://hdl.handle.net/11104/0131298
Number of the records: 1