Statistical Methods in the Atmospheric Sciences
(Sprache: Englisch)
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...
"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...
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Produktinformationen zu „Statistical Methods in the Atmospheric Sciences “
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.
* Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting
* Chapters feature numerous worked examples and exercises
* Model Output Statistic (MOS) includes an introduction to the Kalman filter, an approach that tolerates frequent model changes
* Detailed section on forecast verification, including statistical inference, diagrams, and other methods
New in this Edition:
* Expanded treatment of resampling tests within nonparametric tests
*Updated treatment of ensemble forecasting
* Expanded coverage of key analysis techniques, such as principle component analysis, canonical correlation analysis, discriminant analysis, and cluster analysis
* Careful updates and edits throughout, based on users' feedback
"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.
* Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting
* Chapters feature numerous worked examples and exercises
* Model Output Statistic (MOS) includes an introduction to the Kalman filter, an approach that tolerates frequent model changes
* Detailed section on forecast verification, including statistical inference, diagrams, and other methods
New in this Edition:
* Expanded treatment of resampling tests within nonparametric tests
*Updated treatment of ensemble forecasting
* Expanded coverage of key analysis techniques, such as principle component analysis, canonical correlation analysis, discriminant analysis, and cluster analysis
* Careful updates and edits throughout, based on users' feedback
Klappentext zu „Statistical Methods in the Atmospheric Sciences “
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.
Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting
Features numerous worked examples and exercises
Covers Model Output Statistic (MOS) with an introduction to the Kalman filter, an approach that tolerates frequent model changes
Includes a detailed section on forecast verification
New in this Edition:
Expanded treatment of resampling tests and coverage of key analysis techniques
Updated treatment of ensemble forecasting
Edits and revisions throughout the text plus updated references
Inhaltsverzeichnis zu „Statistical Methods in the Atmospheric Sciences “
PART I: PreliminariesCHAPTER 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
Autoren-Porträt von Daniel S. Wilks
Has been a member of the Atmospheric Sciences faculty at Cornell University since 1987, and is the author of Statistical Methods in the Atmospheric Sciences (2011, Academic Press), which is in its third edition and has been continuously in print since 1995. Research areas include statistical forecasting, forecast postprocessing, and forecast evaluation.
Bibliographische Angaben
- Autor: Daniel S. Wilks
- 2005, 2. Aufl., 648 Seiten, Maße: 19,3 x 26,9 cm, Gebunden, Englisch
- Verlag: Academic Press
- ISBN-10: 0127519661
- ISBN-13: 9780127519661
Sprache:
Englisch
Rezension zu „Statistical Methods in the Atmospheric Sciences “
"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
Pressezitat
"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
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