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      Statistical Methods for Climate Scientists

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      Firm sale: non returnable item
      SKU 9781108472418 Categories ,
      An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible re...

      £54.99

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      Description

      Product ID:9781108472418
      Product Form:Hardback
      Country of Manufacture:GB
      Title:Statistical Methods for Climate Scientists
      Authors:Author: Michael Tippett, Timothy DelSole
      Page Count:542
      Subjects:Numerical analysis, Numerical analysis, Probability and statistics, Oceanography (seas and oceans), Meteorology and climatology, Climate change, Probability & statistics, Oceanography (seas), Meteorology & climatology, Climate change
      Description:An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible reference for students in the climate sciences.
      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.
      Imprint Name:Cambridge University Press
      Publisher Name:Cambridge University Press
      Country of Publication:GB
      Publishing Date:2022-02-24

      Additional information

      Weight1084 g
      Dimensions177 × 250 × 30 mm