Format:
XVII, 525 Seiten
,
Diagramme
Edition:
1. publ.
ISBN:
9781108472418
Content:
A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessible textbook and reference for students and early-career researchers in the climate sciences.
Note:
Literaturverzeichnis: Seite 514-522
Additional Edition:
Erscheint auch als Online-Ausgabe, EPUB ISBN 978-1-10865905-5
Language:
English
Subjects:
Geography
Keywords:
Klimaänderung
;
Modell
;
Statistik
;
Datenanalyse
;
Datenauswertung
;
Meteorologische Beobachtung
;
Messwert
;
Statistische Analyse
;
Methode
;
Klimatologie
;
Klima
;
Statistisches Modell
;
Statistischer Test
;
Klimaänderung
;
Statistik
;
Klimaänderung
;
Modell
;
Statistik
;
Datenanalyse
;
Meteorologische Beobachtung
;
Messwert
;
Klimatologie
;
Klima
;
Statistisches Modell
;
Lehrbuch
;
Lehrbuch
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