Robust and Nonlinear Time Series Analysis, J. Franke; W. H?rdle; D. Martin

Автор: Durbin, James; Koopman, Siem Jan
Название: Time Series Analysis by State Space Methods
ISBN: 019964117X ISBN-13(EAN): 9780199641178
Издательство: Oxford Academ
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Цена: 18216.00 р.
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Описание: This new edition updates Durbin & Koopman`s important text on the state space approach to time series analysis providing a more comprehensive treatment, including the filtering of nonlinear and non-Gaussian series. The book provides an excellent source for the development of practical courses on time series analysis.

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
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Цена: 11088.00 р.
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Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Автор: Xingjian Jing; Ziqiang Lang
Название: Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion
ISBN: 3319123904 ISBN-13(EAN): 9783319123905
Издательство: Springer
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Цена: 19591.00 р.
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Описание: This book is a systematic summary of some new advances in the area of nonlinear analysis and design in the frequency domain, focusing on the application oriented theory and methods based on the GFRF concept, which is mainly done by the author in the past 8 years.

Автор: Commandeur, Jacques J.F.; Koopman, Siem Jan
Название: An Introduction to State Space Time Series Analysis
ISBN: 0199228876 ISBN-13(EAN): 9780199228874
Издательство: Oxford Academ
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Цена: 7681.00 р.
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Описание: This text provides an introduction to time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. This is the first in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.

Автор: Pena, Daniel S. Tiao, George C. Tsay, Ruey S.
Название: Course in time series analysis
ISBN: 047136164X ISBN-13(EAN): 9780471361640
Издательство: Wiley
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Цена: 31355.00 р.
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Описание: New statistical methods and future directions of research in time series A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data.

Автор: Robert H. Shumway
Название: Time Series Analysis and Its Applications
ISBN: 1461427592 ISBN-13(EAN): 9781461427599
Издательство: Springer
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Цена: 12571.00 р.
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Описание: Time Series Analysis and Its Applications, presents a comprehensive treatment of both time and frequency domain methods with accompanying theory. Extensive examples illustrate solutions to climate change, monitoring a nuclear test ban treaty, evaluating the volatility of an asset, and more.

Автор: Box-Steffensmeier
Название: Time Series Analysis for the Social Sciences
ISBN: 0521691559 ISBN-13(EAN): 9780521691550
Издательство: Cambridge Academ
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Цена: 4592.00 р.
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Описание: Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. The book covers ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting.

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: Mingyan Liu; Zongding Hu
Название: Nonlinear Analysis and Prediction of Time Series in Multiphase Reactors
ISBN: 3319041924 ISBN-13(EAN): 9783319041926
Издательство: Springer
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Цена: 9141.00 р.
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Описание: They present qualitative and quantitative non-linear analysis tools which include attractor phase plane plot, correlation dimension, Kolmogorov entropy and largest Lyapunov exponent calculations and local non-linear short-term prediction.

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.

Автор: Keith W. Hipel
Название: Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology
ISBN: 9048143799 ISBN-13(EAN): 9789048143795
Издательство: Springer
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Цена: 28732.00 р.
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Описание: Vol.4: Effective Environmental Management for Sustainable Development

Автор: Holger Kantz
Название: Nonlinear Time Series Analysis
ISBN: 0521529026 ISBN-13(EAN): 9780521529020
Издательство: Cambridge Academ
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Цена: 12355.00 р.
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Описание: The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine and engineering.