Non-Linear Time Series, Kamil Feridun Turkman; Manuel Gonz?lez Scotto; Pat

Автор: Franses
Название: Time Series Models for Business and Economic Forecasting
ISBN: 0521520916 ISBN-13(EAN): 9780521520911
Издательство: Cambridge Academ
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Цена: 49630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With a new author team contributing decades of practical experience, this fully updated second edition textbook summarises the most critical decisions, techniques and steps in creating effective forecasting models. Includes all new theoretical and practical exercises geared at guiding students through the steps of creating forecasting models on their own.

Автор: Arnold Zellner (Editor)
Название: The Structural Econometric Time Series Analysis Approach
ISBN: 0521187435 ISBN-13(EAN): 9780521187435
Издательство: Cambridge Academ
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Цена: 49620.00 T
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Описание: This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.

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: 125610.00 T
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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: 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: 54910.00 T
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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.

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: 111790.00 T
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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.

Автор: Murray Rosenblatt
Название: Gaussian and Non-Gaussian Linear Time Series and Random Fields
ISBN: 1461270677 ISBN-13(EAN): 9781461270676
Издательство: Springer
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Цена: 93160.00 T
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Описание: The principal focus here is on autoregressive moving average models and analogous random fields, with probabilistic and statistical questions also being discussed.

Автор: V?ctor G?mez
Название: Multivariate Time Series With Linear State Space Structure
ISBN: 331928598X ISBN-13(EAN): 9783319285986
Издательство: Springer
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Цена: 88500.00 T
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Описание: This book presents a comprehensive study of multivariate time serieswith linear state space structure. The strength of the book also lies in the numerous algorithms includedfor state space models that take advantage of the recursive nature of themodels.

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
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Цена: 186330.00 T
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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.

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: 55890.00 T
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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.

Автор: S. Burke; J. Hunter
Название: Modelling Non-Stationary Economic Time Series
ISBN: 140390202X ISBN-13(EAN): 9781403902023
Издательство: Springer
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Цена: 102480.00 T
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Описание: Co-integration, equilibrium and equilibrium correction are key concepts in modern applications of econometrics to real world problems.

Автор: S. Burke; J. Hunter
Название: Modelling Non-Stationary Economic Time Series
ISBN: 1403902038 ISBN-13(EAN): 9781403902030
Издательство: Springer
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Цена: 37260.00 T
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Автор: Enders Walter
Название: Applied Econometric Time Series
ISBN: 1118808568 ISBN-13(EAN): 9781118808566
Издательство: Wiley
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Цена: 264820.00 T
Наличие на складе: Поставка под заказ.
Описание: Applied Econometric Time Series, 4th Edition demonstrates modern techniques for developing models capable of forecasting, interpreting, and testing hypotheses concerning economic data. In this text, Dr.