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

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

by Daniel S. Wilks
     
 

ISBN-10: 0127519653

ISBN-13: 9780127519654

Pub. Date: 01/28/1995

Publisher: Elsevier Science & Technology Books

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…  See more details below

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.

Product Details

ISBN-13:
9780127519654
Publisher:
Elsevier Science & Technology Books
Publication date:
01/28/1995
Series:
International Geophysics, #59
Edition description:
Older Edition
Pages:
467
Product dimensions:
6.37(w) x 9.31(h) x 1.34(d)

Table of Contents

Preface
Ch. 1Introduction
Ch. 2Review of Probability
Ch. 3Empirical Distributions and Exploratory Data Analysis
Ch. 4Theoretical Probability Distributions
Ch. 5Hypothesis Testing
Ch. 6Statistical Weather Forecasting
Ch. 7Forecast Verification
Ch. 8Time Series
Ch. 9Methods 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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