Statistical Mining and Data Visualization in Atmospheric Sciences - Rilegato

Rilegato

ISBN 10: 0792378164 ISBN 13: 9780792378167

Casa editrice: Springer-Verlag GmbH, 2000

Riassunto

Statistical Mining and Data Visualization in Atmosheric 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.

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Contenuti

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.

Product Description

Book by None

Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 2000
• Lingua: Inglese
• ISBN 10: 0792378164
• ISBN 13: 9780792378167
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 84
• Redattore: Brown Timothy J., Mielke Jr. Paul W.
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania