Statistical methods in the atmospheric sciences created by Daniel S. Wilks.

By:

Wilks Daniel S [author.]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780123850225

Subject(s):

-- statistical methods

LOC classification:

QC874.5 WIL

Contents:

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.

Summary: "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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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Book	Main Library Open Shelf	QC874.5 WIL (Browse shelf(Opens below))	153857	Available	BK141065
Book	Main Library Open Shelf	QC874.5 WIL (Browse shelf(Opens below))	153855	Available	BK141068
Book	Zvishavane Mining Sciences Library Open Shelf	QC874.5 WIL (Browse shelf(Opens below))	153854	Available	BK141062
Book	Zvishavane Mining Sciences Library Open Shelf	QC874.5 WIL (Browse shelf(Opens below))	153856	Available	BK141041

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Previous	QC861.3 WAL Atmospheric science : an introductory survey /	QC861.3 WAL Atmospheric science : an introductory survey /	QC874.5 WIL Statistical methods in the atmospheric sciences	QC874.5 WIL Statistical methods in the atmospheric sciences	QD7 CHE Chemical nomenclature, symbols and terminology	QD 13 TAY The alchemists :	QD23 DIN Exercise workbook SD 2000	Next

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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