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Statistical Analysis in Climate Research

Statistical Analysis in Climate Research

$121.00 (P)

  • Date Published: March 2002
  • availability: Available
  • format: Paperback
  • isbn: 9780521012300

$ 121.00 (P)

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About the Authors
  • 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.

    • 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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    Reviews & endorsements

    "...a wonderful reference to better understand the state of the art of climatological modeling." Environmental Geology

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    Product details

    • Date Published: March 2002
    • format: Paperback
    • isbn: 9780521012300
    • length: 496 pages
    • dimensions: 280 x 207 x 27 mm
    • weight: 1.12kg
    • contains: 221 b/w illus. 39 tables
    • availability: Available
  • 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.

  • Authors

    Hans von Storch, Universität Hamburg
    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, University of Victoria, British Columbia
    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.

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