Statistical Analysis in Climate Research
$134.00 ( ) USD
- Authors:
- Hans von Storch, Universität Hamburg
- Francis W. Zwiers, University of Victoria, British Columbia
- Date Published: January 2005
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9780511037535
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The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialized techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research.
Read more- Uses a wealth of real-world examples
- Self contained, includes introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists
- The only source presently available that contains a complete description of the full range pattern analysis techniques currently used in climate research
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"...a wonderful reference to better understand the state of the art of climatological modeling." Environmental Geology
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×Product details
- Date Published: January 2005
- format: Adobe eBook Reader
- isbn: 9780511037535
- contains: 221 b/w illus. 39 tables
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
1. Introduction
Part I. Fundamentals:
2. Probability theory
3. Distributions of climate variables
4. Concepts in statistical inference
5. Estimation
Part II. Confirmation and Analysis:
6. The statistical test of a hypothesis
7. Analysis of atmospheric circulation problems
Part III. Fitting Statistical Models:
8. Regression
9. Analysis of variance
Part IV. Time Series:
10. Time series and stochastic processes
11. Parameters of univariate and bivariate time series
12. Estimating covariance functions and spectra
Part V. Eigen Techniques:
13. Empirical orthogonal functions
14. Canonical correlation analysis
15. POP analysis
16. Complex eigentechniques
Part VI. Other Topics:
17. Specific statistical concepts in climate research
18. Forecast quality evaluation
Part VII. Appendices.
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