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Nonlinear times series : theory, methods and applications with R examples /
"This text emphasizes nonlinear models for a course in time series analysis. After introducing stochastic processes, Markov chains, Poisson processes, and ARMA models, the authors cover functional autoregressive, ARCH, threshold AR, and discrete time series models as well as several complementa...
Auteur principal: | |
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Autres auteurs: | , |
Format: | Printed Book |
Langue: | English |
Publié: |
London :
CRC,
2014.
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Collection: | Texts in statistical science
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Sujets: |
University of Calicut
Cote: |
519.55 DOU/N |
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Exemplaire | Statut en temps réel indisponible |