Computational Intelligence in Time Series Forecasting, Ajoy K. Palit; Dobrivoje Popovic

Автор: Shubhabrata Datta
Название: Materials Design Using Computational Intelligence Techniques
ISBN: 1482238322 ISBN-13(EAN): 9781482238327
Издательство: Taylor&Francis
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Цена: 25265.00 р.
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Описание: This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database.

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Автор: Fahed Mostafa; Tharam Dillon; Elizabeth Chang
Название: Computational Intelligence Applications to Option Pricing, Volatility Forecasting and Value at Risk
ISBN: 3319516663 ISBN-13(EAN): 9783319516660
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book demonstrates the power of neural networks in learning complex behavior from the underlying financial time series data. The results presented also show how neural networks can successfully be applied to volatility modeling, option pricing, and value-at-risk modeling.

Автор: Douglas C. Montgomery,Cheryl L. Jennings,Murat Kul
Название: Introduction to Time Series Analysis and Forecasting
ISBN: 1118745116 ISBN-13(EAN): 9781118745113
Издательство: Wiley
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Цена: 18208.00 р.
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Описание: Praise for the First Edition " [t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics.

Автор: Box G. E. P.
Название: Time Series Analysis: Forecasting and Control, 4th Edition
ISBN: 0470272848 ISBN-13(EAN): 9780470272848
Издательство: Wiley
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Цена: 18533.00 р.
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Описание: This is a revision of a classic, seminal, and authoritative book that has been the model for most books on the topic written since 1970. It focuses on practical techniques throughout, rather than a rigorous mathematical treatment of the subject. It explores the building of stochastic (statistical) models for time series and their use in important areas of application forecasting, model specification, estimation, modeling the effects of intervention events, and process control, among others. In addition to meticulous modifications in content and improvements in style, the new edition incorporates several new topics in an effort to modernize the subject matter. These topics include extensive discussions of multivariate time series, smoothing, likelihood function based on the state space model, autoregressive models, structural component models and deterministic seasonal components, and nonlinear and long memory models.