Time Series Analysis and Applications to Geophysical Systems, David Brillinger; Peter Caines; John Geweke; Emanu

Автор: Amit Konar; Diptendu Bhattacharya
Название: Time-Series Prediction and Applications
ISBN: 3319545965 ISBN-13(EAN): 9783319545967
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications.

Автор: Alexej Gvishiani; Jacques O. Dubois
Название: Artificial Intelligence and Dynamic Systems for Geophysical Applications
ISBN: 3642077579 ISBN-13(EAN): 9783642077579
Издательство: Springer
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Цена: 30606.00 р.
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Описание: The book presents new clustering schemes, dynamical systems and pattern recognition algorithms in geophysical, geodynamical and natural hazard applications. However, the artificial intelligence technique described in the book can be applied far beyond the limits of Earth science applications.

Автор: L. Eskola
Название: Geophysical Interpretation using Integral Equations
ISBN: 9401050457 ISBN-13(EAN): 9789401050456
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Along with the general development of numerical methods in pure and applied to apply integral equations to geophysical modelling has sciences, the ability improved considerably within the last thirty years or so.

Автор: Ok, E.
Название: Real analysis with economic applications
ISBN: 0691117683 ISBN-13(EAN): 9780691117683
Издательство: Wiley
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Цена: 17266.00 р.
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Описание: Addressing the topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. It includes fixed point theorems and applications to functional equations and optimization theory.

Автор: Ruey S. Tsay
Название: Multivariate Time Series Analysis: With R and Financial Applications
ISBN: 1118617908 ISBN-13(EAN): 9781118617908
Издательство: Wiley
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Цена: 18842.00 р.
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Описание: An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series.