Estimação dos parâmetros da mistura de duas componentes GEV via algoritmo EM
DOI:
https://doi.org/10.5540/tema.2014.015.01.0059Abstract
Modelos probabilísticos de misturas finitas dedistribuições cujas componestes são as densidades de ValorExtremal Generalizado tem uma ampla aplicabilidade em diversasáreas como finanças e hidrologia. Neste trabalho, os estimadoresdos parâmetros da mistura de duas componentes GEV são obtidos viao algoritmo EM. Apresentamos também ilustrações numéricas docomportamento dos estimatadores obtidos através de simulação MonteCarlo.References
C. Escalante-Sandoval, A Mixed distribution with EV1 and GEV components for analyzing heterogeneous samples,{ Ingeniería Investigación y Tecnología 8.}, {3}(2007), 123-133.
G. J. McLachlan, K. E. Basford, ``Mixture models ''. Marcel Dekker,
NewYork, 1988.
G. J. McLachlan, D. Peel, `` Finite mixture models ''.Wiley,
NewYork, 2000.
D. M. Titterington, A. M. F. Smith, U.E. Makov, `` Statistical analysis
of finite mixture distributions''. Wiley, NewYork, 1985.
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