Download Instructor Resources of Statistical Methods for Climate Scientists - Instructor Resources (Exercises and Solutions + Instructor's Solutions Manual)
Multiple Formats Please note that by purchasing this product, you will only receive instructor resources related to the book. This product does not include the book itself. by Timothy DelSole, George Mason, Michael Tippett
Information
Format: Multiple Formats Language: English Publisher: Cambridge University Press Publication Date of the Electronic Edition: 2022
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ISBN: 9781108472418, 1108472419, 9781108653008, 1108653006, 9781108659055
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Description
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. A short description of a statistical problem and illustrative example are provided at the start of each chapter, allowing the reader to decide if the technique in the chapter is relevant to a particular problem Specific statistical challenges that arise in climate applications are addressed, making it highly relevant for climate courses Each method is described clearly and thoroughly using plain language
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Delivery time: Instant