Synopses & Reviews
Praise for the First Edition:
"I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences."--BAMS (Bulletin of the American Meteorological Society)
Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move research forward and drive innovations in atmospheric modeling and prediction.
This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. Statistical Methods in the Atmospheric Sciences, Second Edition will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.
Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting
Many worked examples
End-of-chapter exercises, with answers provided
Review
"I would strongly recommend this book... To those who already posses the first edition...you would be hard-pressed to do without the second."
--Bulletin of the American Meteorological Society
"What makes this book specific to meterology, and not just to applied statistics, are it's extensive examples and two chapters on statistcal forecasting and forecast evaluation."
-William (Matt) Briggs, Weill Medical College of Cornell University
Synopsis
Statistical Methods in the Atmospheric Sciences, Third Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data. This revised and expanded text is intended to help students understand and communicate what their data sets have to say, or to make sense of the scientific literature in meteorology, climatology, and related disciplines.
In this new edition, what was a single chapter on multivariate statistics has been expanded to a full six chapters on this important topic. Other chapters have also been revised and cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, and time series analysis. There is now an expanded treatment of resampling tests and key analysis techniques, an updated discussion on ensemble forecasting, and a detailed chapter on forecast verification. In addition, the book includes new sections on maximum likelihood and on statistical simulation and contains current references to original research. Students will benefit from pedagogical features including worked examples, end-of-chapter exercises with separate solutions, and numerous illustrations and equations.
This book will be of interest to researchers and students in the atmospheric sciences, including meteorology, climatology, and other geophysical disciplines.
- Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting
- Many worked examples
- End-of-chapter exercises, with answers provided
Table of Contents
I Preliminaries
Ch. 1 Introduction
Ch. 2 Review of Probability
II Univariate Statistics
Ch. 3 Empirical Distributions and Exploratory Data Analysis
Ch. 4 Parametric Probability Distributions
Ch. 5 Frequentist Statistical Inference
Ch. 6 Bayesian Inference
Ch. 7 Statistical Forecasting
Ch. 8 Forecast Verification
Ch. 9 Time Series
III Multivariate Statistics
Ch. 10 Matrix Algebra and Random Matrices
Ch. 11 The Multivariate Normal (MVN) Distribution
Ch. 12 Principal Component (EOF) Analysis
Ch. 13 Canonical Correlation Analysis (CCA)
Ch. 14 Discrimination and Classification
Ch. 15 Cluster Analysis
Appendix A Example Data Sets
Appendix B Probability Tables
Appendix C Answers to Exercises
References
Index