Hossein Hassani

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In recent years Singular Spectrum Analysis (SSA), used as a powerful technique in time series analysis, has been developed and applied to many practical problems. In this paper, the performance of the SSA technique has been considered by applying it to a well-known time series data set, namely, monthly accidental deaths in the USA. The results are compared(More)
In recent years Singular Spectrum Analysis (SSA), a relatively novel but powerful technique in time series analysis, has been developed and applied to many practical problems across different fields. In this paper we review recent developments in the theoretical and methodological aspects of the SSA from the perspective of analyzing and forecasting economic(More)
In recent years the Singular Spectrum Analysis (SSA) technique, used as a powerful technique in time series analysis, has been developed and applied to many practical problems. The aim of this research is to develop theoretical and methodological aspects of the multivariate SSA (MSSA) technique and to demonstrate that MSSA can also be considered as a(More)
This paper uses univariate and multivariate singular spectrum analysis for predicting the value and the direction of changes in the daily pound / dollar exchange rate. To perform the forecast, we also use the daily dollar exchange rates with respect to Euro and Japanese yen. We use the random walk model as a benchmark model to evaluate performances of the(More)
BACKGROUND The Hip & Knee Book: Helping you cope with osteoarthritis was developed to change disadvantageous beliefs and encourage physical activity in people with hip or knee osteoarthritis. AIM To assess the feasibility of conducting a definitive randomised controlled trial (RCT) of this evidence-based booklet in people with hip or knee osteoarthritis.(More)
Fetal heart rate and its beat-to-beat variability are two important indications about the health and condition of the fetus. The observed maternal electrocardiogram (ECG) signal consists of mother heart signal and fetal heart signal and is often very noisy. In this paper, we propose a multivariate singular spectrum analysis (MSSA) for extracting and(More)
In this paper, we discuss the efficiency of noise reduction for curve fitting in nonlinear growth curve models. We use singular spectrum analysis as a nonlinear-nonparametric denoising method. A set of longitudinal measurements is used in considering the performance of the method. We also use artificially generated data sets with and without noise for the(More)