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Modelling Non-Linear Time Series Ate, Terasvirta Timo, Tjostheim Dag, Granger Clive J.


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Автор: Terasvirta Timo, Tjostheim Dag, Granger Clive J.
Название:  Modelling Non-Linear Time Series Ate
ISBN: 9780199587148
Издательство: Oxford Academ
Классификация:

ISBN-10: 0199587140
Обложка/Формат: Hardcover
Страницы: 557
Вес: 0.68 кг.
Дата издания: 16.12.2010
Язык: English
Размер: 241 x 164 x 35
Ссылка на Издательство: Link
Поставляется из: Англии
Описание: This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems.


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.

Econometric Modelling with Time Series

Автор: Martin
Название: Econometric Modelling with Time Series
ISBN: 0521139813 ISBN-13(EAN): 9780521139816
Издательство: Cambridge Academ
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Цена: 11722.00 р.
Наличие на складе: Ожидается поступление.

Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.

Econometric Modelling with Time Series

Автор: Martin
Название: Econometric Modelling with Time Series
ISBN: 0521196604 ISBN-13(EAN): 9780521196604
Издательство: Cambridge Academ
Рейтинг:
Цена: 16474.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.

Time Series Analysis and Adjustment: Measuring, Modelling and Forecasting for Business and Economics

Автор: Bleikh Haim Y., L. Young Warren
Название: Time Series Analysis and Adjustment: Measuring, Modelling and Forecasting for Business and Economics
ISBN: 140944192X ISBN-13(EAN): 9781409441922
Издательство: Taylor&Francis
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Цена: 22968.00 р.
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Описание: In Time Series Analysis and Adjustment the authors explain how the last four decades have brought dramatic changes in the way researchers analyse economic and financial data on behalf of economic and financial institutions and to provide statistics.

Multivariate Modelling of Non-Stationary Economic Time Series

Автор: Simon P. Burke; John Hunter; Alessandra Canepa
Название: Multivariate Modelling of Non-Stationary Economic Time Series
ISBN: 0230243312 ISBN-13(EAN): 9780230243316
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.

Multivariate Modelling of Non-Stationary Economic Time Series

Автор: Simon P. Burke; John Hunter; Alessandra Canepa
Название: Multivariate Modelling of Non-Stationary Economic Time Series
ISBN: 0230243304 ISBN-13(EAN): 9780230243309
Издательство: Springer
Рейтинг:
Цена: 27950.00 р.
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Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.

Non-Linear Time Series

Автор: Kamil Feridun Turkman; Manuel Gonz?lez Scotto; Pat
Название: Non-Linear Time Series
ISBN: 3319070274 ISBN-13(EAN): 9783319070278
Издательство: Springer
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Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of the extremal behavior of nonlinear time series and a comprehensive list of nonlinear models that address different aspects of nonlinearity.

Modelling Nonlinear Economic Time Series

Автор: Terasvirta Clive W J
Название: Modelling Nonlinear Economic Time Series
ISBN: 0199587159 ISBN-13(EAN): 9780199587155
Издательство: Oxford Academ
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Цена: 6572.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This volume is a comprehensive assessment of many recent developments in the modelling of time series. The focus is on introducing various nonlinear models and discussing their practical use, and encouraging the reader to apply nonlinear models to their practical modelling problems.

Dynamic Econometrics for Empirical Macroeconomic Modelling

Автор: Ragnar Nymoen
Название: Dynamic Econometrics for Empirical Macroeconomic Modelling
ISBN: 9811207518 ISBN-13(EAN): 9789811207518
Издательство: World Scientific Publishing
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Цена: 22968.00 р.
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Описание:

For Masters and PhD students in Economics

  • A concise presentation on the mathematics of difference equations and how it is used in dynamic econometric modelling
  • Methods for non-stationary and co-integrated variables
  • Structured chapters on automatic methods for variable selection and forecasting with empirical macroeconometric models
  • Complete with end-of-chapter exercises and solutions

In this textbook, the duality between the equilibrium concept used in dynamic economic theory and the stationarity of economic variables is explained and used in the presentation of single equations models and system of equations such as VARs, recursive models and simultaneous equations models.

The book also contains chapters on: exogeneity, in the context of estimation, policy analysis and forecasting; automatic (computer based) variable selection, and how it can aid in the specification of an empirical macroeconomic model; and finally, on a common framework for model-based economic forecasting.

Supplementary materials and notes are available on the publisher's website.

Non-linear time series models in empirical finance

Автор: Philip Hans Franses
Название: Non-linear time series models in empirical finance
ISBN: 0521779650 ISBN-13(EAN): 9780521779654
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: An accessible guide to one of the fastest growing areas in financial analysis by one of Europes`s leading teaching and researching teams, first published in 2000. This classroom-tested advanced undergraduate and graduate textbook provides an in-depth treatment of non-linear models, including regime-switching and artificial neural networks.

Modelling Trends and Cycles in Economic Time Series

Автор: Mills
Название: Modelling Trends and Cycles in Economic Time Series
ISBN: 1403902097 ISBN-13(EAN): 9781403902092
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s.

Time Series and Econometric Modelling

Автор: I.B. MacNeill; G. Umphrey
Название: Time Series and Econometric Modelling
ISBN: 9401086249 ISBN-13(EAN): 9789401086240
Издательство: Springer
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Цена: 20962.00 р.
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Описание: On May 27-31, 1985, a series of symposia was held at The University of Western Ontario, London, Canada, to celebrate the 70th birthday of Pro- fessor V.


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