Identifying South African tourism time series structure using singular spectrum analysis

Abstract

Singular spectrum analysis is a powerful non-parametric time series method that applies singular value decomposition to a Hankel structured matrix. The method can handle complex time series structures that include combinations of polynomials, sinusoids and exponentials. The effectiveness of the method is illustrated by application to a South African tourism time series