Computer intensive statistical methods
Article first published online: 3 JUN 2011
©1986. American Geophysical Union. All Rights Reserved.
Eos, Transactions American Geophysical Union
Volume 67, Issue 20, pages 476–477, 20 May 1986
How to Cite
1986), Computer intensive statistical methods, Eos Trans. AGU, 67(20), 476–477, doi:10.1029/EO067i020p00476-04.(
- Issue published online: 3 JUN 2011
- Article first published online: 3 JUN 2011
- Cited By
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.