Statistical Methods in the Atmospheric Sciences: Volume 100

Statistical Methods in the Atmospheric Sciences: Volume 100

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Description

Statistical Methods in the Atmospheric Sciences, Second 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.
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Product details

  • Hardback | 648 pages
  • 190 x 260 x 34mm | 1,560.37g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 2nd edition
  • Illustrations, maps
  • 0127519661
  • 9780127519661
  • 1,528,175

Review quote

"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
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Table of contents

PART I: Preliminaries

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

"I would strongly recommend this book... To those who already posses the first edition and are satisfied users, you would be hard-pressed to do without the second edition."
--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

Rating details

17 ratings
4.35 out of 5 stars
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4 53% (9)
3 6% (1)
2 0% (0)
1 0% (0)
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