Evaluates Histogram data [R]=hist2res(H) [y]=hist2res(H,fun) estimates fun-statistic fun 'mean' mean 'std' standard deviation 'var' variance 'sem' standard error of the mean 'rms' root mean square 'meansq' mean of squares 'sum' sum 'sumsq' sum of squares 'CM#' central moment of order # 'skewness' skewness 'kurtosis' excess coefficient (Fisher kurtosis) see also: NaN/statistic REFERENCES: [1] C.L. Nikias and A.P. Petropulu "Higher-Order Spectra Analysis" Prentice Hall, 1993. [2] C.E. Shannon and W. Weaver "The mathematical theory of communication" University of Illinois Press, Urbana 1949 (reprint 1963). [3] http://www.itl.nist.gov/ [4] http://mathworld.wolfram.com/