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International Geophysics #100: Statistical Methods in the Atmospheric Sciences


International Geophysics #100: Statistical Methods in the Atmospheric Sciences Cover


Synopses & Reviews

Publisher Comments:

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.

  • Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting

  • Many worked examples

  • End-of-chapter exercises, with answers provided

  • Book News Annotation:

    Wilks (earth and atmospheric sciences, Cornell U.) presents a textbook for an upper-division undergraduate or beginning graduate course for students who have completed a first course in statistics and are interested in learning further statistics in the context of atmospheric sciences. No mathematics beyond first-year calculus is required, nor any background in atmospheric science, though some would be helpful. He also has in mind researchers using the book as a reference. No dates are cited for previous editions, this one adds a chapter on Bayesian inference, updates the treatment throughout, and includes new references to recently published literature. Academic Press in an imprint of Elsevier. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)

    Table of Contents

    I Preliminaries

    Ch. 1 Introduction 

    Ch. 2 Review of Probability 

    II  Univariate Statistics

    Ch. 3 Empirical Distributions and Exploratory Data Analysis 

    Ch. 4 Parametric Probability Distributions 

    Ch. 5 Frequentist Statistical Inference 

    Ch. 6 Bayesian Inference 

    Ch. 7 Statistical Forecasting 

    Ch. 8 Forecast Verification 

    Ch. 9 Time Series  

    III  Multivariate Statistics

    Ch. 10 Matrix Algebra and Random Matrices 

    Ch. 11 The Multivariate Normal (MVN) Distribution  

    Ch. 12 Principal Component (EOF) Analysis  

    Ch. 13 Canonical Correlation Analysis (CCA)  

    Ch. 14 Discrimination and Classification    

    Ch. 15 Cluster Analysis   

    Appendix A   Example Data Sets 

    Appendix B  Probability Tables  

    Appendix C  Answers to Exercises 



    Product Details

    Wilks, Daniel S.
    Academic Press
    International Geophysics
    Series Volume:
    Publication Date:
    9.25 x 7.5 in

    Related Subjects

    Engineering » Civil Engineering » Geology and Mining
    Science and Mathematics » Geology » Earth Sciences
    Science and Mathematics » Geology » Geophysics
    Science and Mathematics » Mathematics » Probability and Statistics » General
    Science and Mathematics » Mathematics » Probability and Statistics » Statistics
    Science and Mathematics » Physics
    Science and Mathematics » Physics » Meteorology

    International Geophysics #100: Statistical Methods in the Atmospheric Sciences New Hardcover
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    $105.00 In Stock
    Product details 704 pages Academic Press - English 9780123850225 Reviews:
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