Abstract
A method for reducing the estimation variance of an integrated trispectrum under low signal-to-noise ratio (SNR) and short data sample conditions is presented. An analysis of the results of a simulation using this method, and a comparison with the power spectrum method and integrated trispectrum method, are presented.
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