中图分类法:	P467 版次：
著者:	DelSole, Timothy M.,
题名:	Statistical methods for climate scientists / / ,
出版发行:	出版地： New York : 出版社： Cambridge University Press, 出版日期： 2021.
载体形态:	xvii, 525 pages ; 25 cm
内容提要:	"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"--
主题词:	Climatology Statistical methods.
主题词:	Atmospheric science Statistical methods.
主题词:	Marine sciences Statistical methods.