Statistical Methods in the Atmospheric Sciences: An Introduction / Edition 1

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Overview

This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth.

Audience: Senior and graduate students in courses in meteorological statistics, statistical chemistry, and meteorological methods. Researchers in atmospheric science, meteorology, and oceanography.

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Product Details

  • ISBN-13: 9780127519654
  • Publisher: Elsevier Science & Technology Books
  • Publication date: 1/28/1995
  • Series: International Geophysics , #59
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 467
  • Product dimensions: 6.37 (w) x 9.31 (h) x 1.34 (d)

Table of Contents

Preface
Ch. 1 Introduction
Ch. 2 Review of Probability
Ch. 3 Empirical Distributions and Exploratory Data Analysis
Ch. 4 Theoretical Probability Distributions
Ch. 5 Hypothesis Testing
Ch. 6 Statistical Weather Forecasting
Ch. 7 Forecast Verification
Ch. 8 Time Series
Ch. 9 Methods for Multivariate Data
Appendix A: Example Data Sets
Appendix B: Probability Tables
Appendix C: Answers to Exercises
References
Index
International Geophysics Series
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