國立虎尾科技大學 |

Statistical methods for climate scientists

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistical methods for climate scientists/ Timothy M. DelSole, Michael K. Tippett.
作者:	DelSole, Timothy M.
其他作者:	Tippett, Michael K.
出版者:	Cambridge :Cambridge University Press, : 2022.,
面頁冊數:	xvii, 525 p. :ill., digital ; : 25 cm.;
附註:	Title from publisher's bibliographic system (viewed on 09 Feb 2022).
標題:	Atmospheric science - Statistical methods. -
電子資源:	https://doi.org/10.1017/9781108659055
ISBN:	9781108659055

Statistical methods for climate scientists
DelSole, Timothy M.

Statistical methods for climate scientists[electronic resource] /Timothy M. DelSole, Michael K. Tippett. - Cambridge :Cambridge University Press,2022. - xvii, 525 p. :ill., digital ;25 cm.

Title from publisher's bibliographic system (viewed on 09 Feb 2022).

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.

ISBN: 9781108659055Subjects--Topical Terms:

1405784
Atmospheric science
--Statistical methods.

LC Class. No.: QC866 / .D38 2022

Dewey Class. No.: 551.6015118

Statistical methods for climate scientists
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500 $a Title from publisher's bibliographic system (viewed on 09 Feb 2022).
520 $a 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.
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