Statistical Methods in the Atmospheric Sciences: Volume 100
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Description
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.
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Product details
- Hardback | 648 pages
- 190 x 260 x 34mm | 1,560.37g
- 12 Dec 2005
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
- English
- 2nd edition
- Illustrations, maps
- 0127519661
- 9780127519661
- 1,528,175
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Review quote
--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
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Table of contents
CHAPTER 1. Introduction
CHAPTER 2. Review of Probability
PART II: Univariate Statistics
CHAPTER 3. Empirical Distributions and Exploratory Data Analysis
CHAPTER 4. Parametric Probability Distributions
CHAPTER 5. Hypothesis Testing
CHAPTER 6. Statistical Forecasting
CHAPTER 7. Forecast Verification
CHAPTER 8. Time Series
PART III: Multivariate Statistics
CHAPTER 9. Matrix Algebra and Random Matrices
CHAPTER 10. The Multivariate Normal (MVN) Distribution
CHAPTER 11. Principal Component (EOF) Analysis
CHAPTER 12. Canonical Correlation Analysis (CCA)
CHAPTER 13. Discrimination and Classification
CHAPTER 14. Cluster Analysis
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Review Text
--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
show more