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Models for Dependent Time Series, Tunnicliffe Wilson Granville, Reale Marco, Haywood John


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Цена: 13779.00р.
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Автор: Tunnicliffe Wilson Granville, Reale Marco, Haywood John
Название:  Models for Dependent Time Series
ISBN: 9781584886501
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1584886501
Обложка/Формат: Hardcover
Страницы: 340
Вес: 0.61 кг.
Дата издания: 06.08.2015
Серия: Chapman & hall/crc monographs on statistics and applied probability
Язык: English
Иллюстрации: 21 tables, black and white; 149 illustrations, black and white
Размер: 23.37 x 15.75 x 2.29 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

Models for Dependent Time Series addresses the issues that arise and the methodology that can be applied when the dependence between time series is described and modeled. Whether you work in the economic, physical, or life sciences, the book shows you how to draw meaningful, applicable, and statistically valid conclusions from multivariate (or vector) time series data.

The first four chapters discuss the two main pillars of the subject that have been developed over the last 60 years: vector autoregressive modeling and multivariate spectral analysis. These chapters provide the foundational material for the remaining chapters, which cover the construction of structural models and the extension of vector autoregressive modeling to high frequency, continuously recorded, and irregularly sampled series. The final chapter combines these approaches with spectral methods for identifying causal dependence between time series. Web Resource A supplementary website provides the data sets used in the examples as well as documented MATLAB(R) functions and other code for analyzing the examples and producing the illustrations. The site also offers technical details on the estimation theory and methods and the implementation of the models.




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.

Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Автор: Wilson Jeffrey R., Vazquez-Arreola Elsa, Chen (din) Ding-Geng
Название: Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates
ISBN: 3030489035 ISBN-13(EAN): 9783030489038
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars.

Bayesian Time Series Models

Автор: Barber
Название: Bayesian Time Series Models
ISBN: 0521196760 ISBN-13(EAN): 9780521196765
Издательство: Cambridge Academ
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Цена: 17582.00 р.
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Описание: `What`s going to happen next?` Time series data hold the answers. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Readers with only a basic understanding of applied probability are guided from fundamental concepts to the state-of-the-art in research and practice.

Forecasting, structural time series models and the kalman filter

Автор: Harvey, Andrew C.
Название: Forecasting, structural time series models and the kalman filter
ISBN: 0521405734 ISBN-13(EAN): 9780521405737
Издательство: Cambridge Academ
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Цена: 6018.00 р.
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Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.

Forecasting, structural time series models, and the kalman filter

Автор: Harvey, A.c.
Название: Forecasting, structural time series models, and the kalman filter
ISBN: 0521321964 ISBN-13(EAN): 9780521321969
Издательство: Cambridge Academ
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Цена: 21384.00 р.
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Описание: This book is concerned with modelling economic and social time series and with addressing the special problems which the treatment of such series pose. It is unique in its use of Kalman filtering with econometric and time series modelling.

Hidden Markov Models for Time Series

Автор: Zucchini
Название: Hidden Markov Models for Time Series
ISBN: 1482253836 ISBN-13(EAN): 9781482253832
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание: Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition.

Threshold Models in Non-linear Time Series Analysis

Автор: H. Tong
Название: Threshold Models in Non-linear Time Series Analysis
ISBN: 0387909184 ISBN-13(EAN): 9780387909189
Издательство: Springer
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Цена: 16769.00 р.
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Описание: In the last two years or so, I was most fortunate in being given opportunities of lecturing on a new methodology to a variety of audiences in Britain, China, Finland, France and Spain.

An Introduction to Bispectral Analysis and Bilinear Time Series Models

Автор: T.S. Rao; M.M. Gabr
Название: An Introduction to Bispectral Analysis and Bilinear Time Series Models
ISBN: 0387960392 ISBN-13(EAN): 9780387960395
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The theory of time series models has been well developed over the last thirt,y years. The most interesting feature of such a model is that its second order covariance analysis is ve~ similar to that for a linear model. This demonstrates the importance of higher order covariance analysis for nonlinear models.

Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis

Автор: Gy?rgy Terdik
Название: Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis
ISBN: 0387988726 ISBN-13(EAN): 9780387988726
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The first two chapters are devoted to the basic theory of nonlinear functions of stationary Gaussian processes, Hermite polynomials, cumulants and higher order spectra, multiple Wiener-Ito integrals and finally chaotic Wiener-Ito spectral representation of subordinated processes.

Predictions in Time Series Using Regression Models

Автор: Frantisek Stulajter
Название: Predictions in Time Series Using Regression Models
ISBN: 1441929657 ISBN-13(EAN): 9781441929655
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book will interest and assist people who are dealing with the problems of predictions of time series in higher education and research. It will greatly assist people who apply time series theory to practical problems in their work and also serve as a textbook for postgraduate students in statistics economics and related subjects.

Stochastic models for time series

Автор: Doukhan, Paul
Название: Stochastic models for time series
ISBN: 3319769375 ISBN-13(EAN): 9783319769370
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This book presents essential tools for modelling non-linear time series.

Time Series Models

Название: Time Series Models
ISBN: 0367401320 ISBN-13(EAN): 9780367401320
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание: The five papers in this book describe recent developments in the analysis, prediction, and interpolation of economic time series from various viewpoints. Topics include time series models for volatility, the nature of prediction errors, a biometrical perspective on the analysis of short time series, and the study of option pricing.


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