%0 Journal Article
%T Measuring Linear and Nonlinear Associations
%A Masoud Yarmohammadi
%J Research Journal of Applied Sciences, Engineering and Technology
%D 2013
%I Maxwell Science Publication
%X In this study, we propose a new approach based on two nonparametric techniques to capture the linear and nonlinear associations. The singular spectrum analysis technique, which is a powerful method for filtering noisy series, is used as a noise reduction method and mutual information is considered for measuring the level of association. The performance of the proposed approach is assessed using the simulated and real time series.
%K Association
%K mutual information
%K noise reduction
%K singular spectrum analysis
%U http://maxwellsci.com/jp/abstract.php?jid=RJASET&no=265&abs=01