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Advances in Time Series Forecasting.

Readers will learn how these methods work and how these approaches can be used to forecast real life time series. The hybrid forecasting model is also explained. Data presented in this e-book is problem based and is taken from real life situations. It is a valuable resource for students, statisticia...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Aladag, Cagdas Hakan
Otros Autores: Erol, Egrioglu
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sharjah : Bentham Science Publishers, 2012.
Temas:
Acceso en línea:Texto completo

MARC

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520 |a Readers will learn how these methods work and how these approaches can be used to forecast real life time series. The hybrid forecasting model is also explained. Data presented in this e-book is problem based and is taken from real life situations. It is a valuable resource for students, statisticians and working professionals interested in advanced time series analysis. 
505 0 |a pt. 1. Time series forecasting using ANN -- pt. 2. Fuzzy time series -- pt. 3. Hybrid methods. 
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