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Singular Spectrum Analysis : Using R / / by Hossein Hassani, Rahim Mahmoudvand



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Autore: Hassani Hossein Visualizza persona
Titolo: Singular Spectrum Analysis : Using R / / by Hossein Hassani, Rahim Mahmoudvand Visualizza cluster
Pubblicazione: London : , : Palgrave Macmillan UK : , : Imprint : Palgrave Pivot, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (158 pages)
Disciplina: 005.3
Soggetto topico: Economics
Management science
R (Computer program language)
Economics, general
Persona (resp. second.): MahmoudvandRahim
Nota di contenuto: Preface -- 1. Univariate Singular Spectrum Analysis -- 2. Multivariate Singular Spectrum Analysis -- 3. Applications of Singular Spectrum Analysis -- 4. More on Filtering and Forecasting by SSA -- A. A Short Introduction to R -- B. Theoretical explanations. .
Sommario/riassunto: This book provides a broad introduction to computational aspects of Singular Spectrum Analysis (SSA) which is a non-parametric technique and requires no prior assumptions such as stationarity, normality or linearity of the series. This book is unique as it not only details the theoretical aspects underlying SSA, but also provides a comprehensive guide enabling the user to apply the theory in practice using the R software. Further, it provides the user with step- by- step coding and guidance for the practical application of the SSA technique to analyze their time series databases using R. The first two chapters present basic notions of univariate and multivariate SSA and their implementations in R environment. The next chapters discuss the applications of SSA to change point detection, missing-data imputation, smoothing and filtering. This book is appropriate for researchers, upper level students (masters level and beyond) and practitioners wishing to revive their knowledge of times series analysis or to quickly learn about the main mechanisms of SSA. .
Titolo autorizzato: Singular Spectrum Analysis  Visualizza cluster
ISBN: 1-137-40951-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910299647803321
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Serie: Palgrave Advanced Texts in Econometrics, . 2662-639X