You might also like

More about Singular Spectrum Analysis

• Book details
• Synopsis
• Trending among others

You get 155 loyalty points

Book synopsis

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.

Book details

Book category Books in English Economics, finance, business & management Economics

• Full title: Singular Spectrum Analysis
• Subtitle: Using R
• Author: Hossein Hassani, Rahim Mahmoudvand
• Language: English
• Binding: Hardback
• Number of pages: 149
• EAN: 9781137409508
• ISBN: 1137409509
• ID: 19761902
• Publisher: Palgrave Macmillan
• Weight: 338 g
• Dimensions: 210 × 148 × 16 mm
• Date of publishing: 12. July 2018

---

---

---