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The special session “Computer-Intensive Statistical Methods” was held in morning and afternoon parts at the 1985 AGU Fall Meeting in San Francisco. Calif. Its mission was to provide a forum for hydrologists and statisticians who are active in bringing unconventional, algorithmic-oriented statistical techniques to bear on problems of hydrology. Statistician Emanuel Parzen (Texas A&M University, College Station, Tex.) opened the session by relating recent developments in quantile estimation methods and showing how properties of such methods can be used to advantage to categorize runoff data previously analyzed by I. Rodriguez-Iturbe (Universidad Simon Bolivar, Caracas, Venezuela). Statistician Eugene Schuster (University of Texas, El Paso) discussed recent developments in nonparametric density estimation which enlarge the framework for convenient incorporation of prior and ancillary information. These extensions were motivated by peak annual flow analysis. Mathematician D. Myers (University of Arizona, Tucson) gave a brief overview of “kriging” and outlined some recently developed methodology.