UID:
almahu_9948026258302882
Format:
1 online resource (481 p.)
ISBN:
1-281-05957-9
,
9786611059576
,
0-08-054172-0
Series Statement:
International geophysics series ; v. 59
Content:
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. Wor
Note:
Description based upon print version of record.
,
Page; Contents; Preface; Chapter 1. Introduction; 1.1 What Is Statistics?; 1.2 Descriptive and Inferential Statistics; 1.3 Uncertainty about the Atmosphere; 1.4 An Aside on Notation; Chapter 2. Review of Probability; 2.1 Background; 2.2 The Elements of Probability; 2.3 The Meaning of Probability; 2.4 Some Properties of Probability; Exercises; Chapter 3. Empirical Distributions and Exploratory Data Analysis; 3.1 Background; 3.2 Numerical Summary Measures; 3.3 Graphical Summary Techniques; 3.4 Reexpression; 3.5 Exploratory Techniques for Paired Data
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3.6 Exploratory Techniques for Higher-Dimensional Data Exercises; Chapter 4. Theoretical Probability Distributions; 4.1 Background; 4.2 Discrete Distributions; 4.3 Statistical Expectations; 4.4 Continuous Distribution; 4.5 Multivariate Probability Distributions; 4.6 Qualitative Assessments of the Goodness of Fit; 4.7 Parameter Fitting Using Maximum Likelihood; Exercises; Chapter 5. Hypothesis Testing; 5.1 Background; 5.2 Some Parametric Tests; 5.3 Nonparametric Tests; 5.4 Field Significance and Multiplicity; Exercises; Chapter 6. Statistical Weather Forecasting; 6.1 Background
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8.5 Frequency Domain. II. Spectral Analysis Exercises; Chapter 9. Methods for Multivariate Data; 9.1 Background; 9.2 Matrix Algebra Notation; 9.3 Principal-Component (EOF) Analysis; 9.4 Canonical Correlation Analysis; 9.5 Discriminant Analysis; 9.6 Cluster Analysis; Exercises; Appendix A. Example Data Sets; Appendix B. Probability Tables; Appendix C. Answers to Exercises; References; Index; International Geophysics Series
,
English
Additional Edition:
ISBN 0-12-751965-3
Language:
English
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