Statistical Analysis in Climate Research / Edition 1

Statistical Analysis in Climate Research / Edition 1

ISBN-10:
0521012309
ISBN-13:
9780521012300
Pub. Date:
02/21/2002
Publisher:
Cambridge University Press
ISBN-10:
0521012309
ISBN-13:
9780521012300
Pub. Date:
02/21/2002
Publisher:
Cambridge University Press
Statistical Analysis in Climate Research / Edition 1

Statistical Analysis in Climate Research / Edition 1

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Overview

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.

Product Details

ISBN-13: 9780521012300
Publisher: Cambridge University Press
Publication date: 02/21/2002
Edition description: Reprint
Pages: 496
Product dimensions: 8.15(w) x 11.02(h) x 1.06(d)

About the Author

Hans von Storch is Director of the Institute of Hydrophysics of the GKSS Research Centre in Geesthacht, Germany and a Professor at the Meteorological Institute of the University of Hamburg.

Francis W. Zwiers is Chief of the Canadian Centre for Climate Modelling and Analysis, Atmospheric Environment Service, Victoria, Canada, and an Adjunct Professor at the Department of Mathematicw and Statistics of the University of Victoria.

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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