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.,
面頁冊數:	1 online resource (xvii, 525 pages) :digital, PDF file(s). :
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 (ebook)

Statistical methods for climate scientists /
DelSole, Timothy M.,

Statistical methods for climate scientists /Timothy M. DelSole, Michael K. Tippett. - 1 online resource (xvii, 525 pages) :digital, PDF file(s).

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: 9781108659055 (ebook)Subjects--Topical Terms:

1405784
Atmospheric science
--Statistical methods.

LC Class. No.: QC866 / .D38 2022

Dewey Class. No.: 551.601/5118

Statistical methods for climate scientists /
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