Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area.
Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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. Macêdo, et al.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Taschenbuch. Condizione: Neu. Statistical Mining and Data Visualization in Atmospheric Sciences | Timothy J. Brown (u. a.) | Taschenbuch | 80 S. | Englisch | 2010 | Humana | EAN 9781441949745 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 107251990
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