The second moment of intensity as a function of depth, range, and time for WPRM can be modeled in terms of a space‐time autocorrelation function, a scattering strength parameter γ, and a scaled range X. The higher moments have not been predicted for all λ and X; however, it is generally accepted that the intensity moments are lognormal at small X and exponential at large X. The generalized gamma distribution function (GGDF) [E. W. Stacy, Ann. Math. Star. 33, 1187 (1962)] forms a large class that includes the lognormal and the exponential pdf's. It is proposed that the GGDF can model the probability distributions of intensity in forward scattering over wide ranges in y and X. The temporal intensity fluctuations measured during MATE and depth‐range results from Monte‐Carlo simulations of WPRM for a medium with a power law autocorrelation function have been used to test the proposition. The “goodness of fit” of the GGDF's fitted to those data sets, and the benefits of using distribution modeling rather than intensity moment will be discussed. The results are convincing; it remains a nontrivial task to test the hypothesis theoretically. [Supported by ONR code 4250A.]

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