Rate this book
What to read after Statistical Methods in the Atmospheric Sciences?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Statistical Methods in the Atmospheric Sciences" by Daniel S. Wilks! 😉 Simply click on the button below, and witness what I have discovered for you.
Exciting news! I've found some fantastic books for you! 📚✨ Check below to see your tailored recommendations. Happy reading! 📖😊
Statistical Methods in the Atmospheric Sciences
Daniel S. Wilks
Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting.
- Provides a strong, yet concise, introduction to applied statistics that is specific to atmospheric science
- Contains revised and expanded sections on nonparametric tests, test multiplicity and quality uncertainty descriptors
- Includes new sections on ANOVA, quantile regression, the lasso and other regularization methods, regression trees, changepoint detection, ensemble forecasting and exponential smoothing
Do you want to read this book? 😳
Buy it now!
Are you curious to discover the likelihood of your enjoyment of "Statistical Methods in the Atmospheric Sciences" by Daniel S. Wilks? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.
