Statistical methods for climate scientists

상세정보

자료유형	단행본
서명/저자사항	Statistical methods for climate scientists / Timothy M. DelSole and Michael K. Tippett.
개인저자	DelSole, Timothy M., author.
발행사항	New York: Cambridge University Press, 2022
형태사항	xvii, 525 p. : Illustrations ; 25 cm.
ISBN	9781108472418
서지주기	Includes bibliographical references and index.
요약	"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"--
해제	Provided by publisher.
일반주제명	Climatology --Statistical methods. Atmospheric science --Statistical methods. Marine sciences --Statistical methods.
분류기호(DDC)	551.6015118
언어	영어