Bibliografische Daten
ISBN/EAN: 9781441949745
Sprache: Englisch
Umfang: 80 S., 13 s/w Illustr., 1 farbige Illustr., 80 p.
Einband: kartoniertes Buch
Beschreibung
InhaltsangabeGuest Editorial: Statistical Mining and Data Visualization in Atmospheric Sciences; T.J. Brown, P.W. Mielke, Jr. Euclidean Distance Based Permutation Methods in Atmospheric Science; P.W. Mielke, Jr., K.J. Berry. Bootstrapping to Assess and Improve Atmospheric Prediction Models; J.S. Rao. Using Linked Micromap Plots to Characterize Omernik Ecoregions; D.B. Carr, et al. Visual Data Mining in Atmospheric Science Data; M. Macêdo, et al.
Inhalt
Guest Editorial: Statistical Mining and Data Visualization in Atmospheric Sciences; T.J. Brown, P.W. Mielke, Jr. Euclidean Distance Based Permutation Methods in Atmospheric Science; P.W. Mielke, Jr., K.J. Berry. Bootstrapping to Assess and Improve Atmospheric Prediction Models; J.S. Rao. Using Linked Micromap Plots to Characterize Omernik Ecoregions; D.B. Carr, et al. Visual Data Mining in Atmospheric Science Data; M. Macedo, et al.
