Statistical Methods in the Atmospheric Sciences

Name: Statistical Methods in the Atmospheric Sciences
Brand: Elsevier
SKU: 9780443490026
Price: 14070.0 INR
Availability: OutOfStock

by Daniel S. Wilks

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ISBN13: 9780443490026
Binding: Paperback
Subject: N/A
Publisher: Elsevier
Publisher Imprint: Elsevier
Publication Date: March 27, 2026
Pages: 818
Original Price: USD 150.0
Language: English
Edition: 5th Edition
Item Weight: 450 grams
BISAC Subject(s): Earth Sciences / Meteorology & Climatology

About The Book

Statistical Methods in the Atmospheric Sciences, Fifth Edition provides a structured exploration of the statistical techniques essential for analyzing atmospheric data. The book begins with foundational concepts in probability, setting the stage for more advanced topics. It then covers univariate statistics, including empirical distributions, parametric probability models, and both frequentist and Bayesian inference methods, offering tools for rigorous data analysis and interpretation. The text also addresses statistical forecasting and ensemble forecasting, along with methods for verifying forecast accuracy. In addition, time series analysis is explored in detail, enabling readers to understand temporal dependencies in atmospheric data.

The book advances into multivariate statistics, presenting matrix algebra and random matrices as mathematical foundations. It discusses the multivariate normal distribution, principal component analysis (EOF), and multivariate analysis of vector pairs to handle complex, multidimensional atmospheric datasets. Techniques for discrimination, classification, and cluster analysis are also examined, providing methods for categorizing and interpreting atmospheric patterns. Supplementary materials include example data sets, probability tables, and a glossary of symbols and acronyms, along with answers to exercises that reinforce learning.

About The Author

Wilks, Daniel S.: -

Daniel S. Wilks is a Professor Emeritus at Cornell University and has been a Member of the Atmospheric Sciences faculty since 1987. His research focuses on the application of statistical methods for the quantification and analysis of uncertainty in meteorological and climatological data and forecasts. Dr. Wilks has taught courses on statistics in the atmospheric sciences and has been an Author or Coauthor of more than 100 peer-reviewed research articles.

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