Statistical methods in the atmospheric sciences created by Daniel S. Wilks.
Material type:
- text
- unmediated
- volume
- 9780123850225
- QC874.5 WIL
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QC871 GEO Geographical information and climatology | QC871 GEO Geographical information and climatology | QC874.5 WIL Statistical methods in the atmospheric sciences | QC874.5 WIL Statistical methods in the atmospheric sciences | QC874.5 WIL Statistical methods in the atmospheric sciences / | QC 879.5 BUR Watching the world's weather | QC880 HOL An introduction to dynamic meteorology / |
Includes bibliographical references and index
Pt. 1. Preliminaries --
pt. 2. Univariate statistics --
pt. 3. Multivariate statistics. 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 --
References --
Index.
"Statistical Methods in the Atmospheric Sciences, Fourth Edition has always strived, and succeeded, to meet the needs of students and instructors, in addition to supporting researchers and operational practitioners as a comprehensive, but still usable, reference. This newly revised fourth edition continues in that tradition. Updates, new topics and expanded sections build upon the strengths of the prior edition, while providing new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting"-- Provided by publisher.
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