Model selection of the generalized von Mises distribution based on empirical mod

This paper presents a method for selecting a distribution within the generalized von Mises (GvM) class. In this method, the logarithmic form of the GvM probability frequency function is regarded as the sum of a constant and several cosine functions with different frequencies. Based on the empirical mode decomposition (EMD) method, the corresponding logarithmic series is decomposed to several intrinsic mode functions (IMF) whose corresponding instantaneous frequencies (IF) are used to be the basi