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Электронный каталог: Franses, P. H. - Time series models for business and economic forecasting
Franses, P. H. - Time series models for business and economic forecasting
Книга
Автор: Franses, P. H.
Time series models for business and economic forecasting
Издательство: Cambridge University Press, 2014 г.
ISBN 978-0-521-81770-7
Автор: Franses, P. H.
Time series models for business and economic forecasting
Издательство: Cambridge University Press, 2014 г.
ISBN 978-0-521-81770-7
На полку
Книга
Franses, P. H.
Time series models for business and economic forecasting / P. H. Franses, D. van Dijk, A. Opschoor . – 2nd ed . – Cambridge : Cambridge University Press, 2014 . – 300 p. – На англ. яз. - ISBN 978-0-521-81770-7 .
With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. Downloadable datasets are available online.
330.4
General = Mathematical Methods and Models in Economics and Management. Econometrics
Коллекции = Открытая научная библиотека
Franses, P. H.
Time series models for business and economic forecasting / P. H. Franses, D. van Dijk, A. Opschoor . – 2nd ed . – Cambridge : Cambridge University Press, 2014 . – 300 p. – На англ. яз. - ISBN 978-0-521-81770-7 .
With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the techniques of time series analysis. Taking a practical and example-driven approach, this textbook summarises the most critical decisions, techniques and steps involved in creating forecasting models for business and economics. Students are led through the process with an entirely new set of carefully developed theoretical and practical exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations, conditional heteroskedasticity and ARCH models, non-linearity and multivariate time series, making this a complete practical guide. Downloadable datasets are available online.
330.4
General = Mathematical Methods and Models in Economics and Management. Econometrics
Коллекции = Открытая научная библиотека