05438nam 2200661 a 450 991045849900332120200520144314.01-280-64150-997866106415050-08-045622-7(CKB)1000000000363523(EBL)269991(OCoLC)476000639(SSID)ssj0000251103(PQKBManifestationID)11200070(PQKBTitleCode)TC0000251103(PQKBWorkID)10245168(PQKB)10254061(MiAaPQ)EBC269991(Au-PeEL)EBL269991(CaPaEBR)ebr10138343(CaONFJC)MIL64150(OCoLC)936844017(EXLCZ)99100000000036352320060317d2006 uy 0engur|n|---|||||txtccrStatistical methods in the atmospheric sciences[electronic resource] /D.S. Wilks2nd ed.Amsterdam ;Boston Academic Pressc20061 online resource (649 p.)International geophysics series ;v. 91Description based upon print version of record.0-12-751966-1 Includes bibliographical references (p. 587-610) and index.Front Cover; Statistical Methods in the Atmospheric Sciences; Copyright Page; Contents; Preface to the First Edition; Preface to the Second Edition; PART I: Preliminaries; CHAPTER 1. Introduction; 1.1 What Is Statistics?; 1.2 Descriptive and Inferential Statistics; 1.3 Uncertainty about the Atmosphere; 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; 2.5 Exercises; PART II: Univariate Statistics; CHAPTER 3. Empirical Distributions and Exploratory Data Analysis; 3.1 Background3.2 Numerical Summary Measures3.3 Graphical Summary Techniques; 3.4 Reexpression; 3.5 Exploratory Techniques for Paired Data; 3.6 Exploratory Techniques for Higher-Dimensional Data; 3.7 Exercises; CHAPTER 4. Parametric Probability Distributions; 4.1 Background; 4.2 Discrete Distributions; 4.3 Statistical Expectations; 4.4 Continuous Distributions; 4.5 Qualitative Assessments of the Goodness of Fit; 4.6 Parameter Fitting Using Maximum Likelihood; 4.7 Statistical Simulation; 4.8 Exercises; CHAPTER 5. Hypothesis Testing; 5.1 Background; 5.2 Some Parametric Tests; 5.3 Nonparametric Tests5.4 Field Significance and Multiplicity5.5 Exercises; CHAPTER 6. Statistical Forecasting; 6.1 Background; 6.2 Linear Regression; 6.3 Nonlinear Regression; 6.4 Predictor Selection; 6.5 Objective Forecasts Using Traditional Statistical Methods; 6.6 Ensemble Forecasting; 6.7 Subjective Probability Forecasts; 6.8 Exercises; CHAPTER 7. Forecast Verification; 7.1 Background; 7.2 Nonprobabilistic Forecasts of Discrete Predictands; 7.3 Nonprobabilistic Forecasts of Continuous Predictands; 7.4 Probability Forecasts of Discrete Predictands; 7.5 Probability Forecasts for Continuous Predictands7.6 Nonprobabilistic Forecasts of Fields7.7 Verification of Ensemble Forecasts; 7.8 Verification Based on Economic Value; 7.9 Sampling and Inference for Verification Statistics; 7.10 Exercises; CHAPTER 8. Time Series; 8.1 Background; 8.2 Time Domain-I. Discrete Data; 8.3 Time Domain-II. Continuous Data; 8.4 Frequency Domain-I. Harmonic Analysis; 8.5 Frequency Domain-II. Spectral Analysis; 8.6 Exercises; PART III: Multivariate Statistics; CHAPTER 9. Matrix Algebra and Random Matrices; 9.1 Background to Multivariate Statistics; 9.2 Multivariate Distance; 9.3 Matrix Algebra Review9.4 Random Vectors and Matrices9.5 Exercises; CHAPTER 10. The Multivariate Normal (MVN) Distribution; 10.1 Definition of the MVN; 10.2 Four Handy Properties of the MVN; 10.3 Assessing Multinormality; 10.4 Simulation from the Multivariate Normal Distribution; 10.5 Inferences about a Multinormal Mean Vector; 10.6 Exercises; CHAPTER 11. Principal Component (EOF) Analysis; 11.1 Basics of Principal Component Analysis; 11.2 Application of PCA to Geophysical Fields; 11.3 Truncation of the Principal Components; 11.4 Sampling Properties of the Eigenvalues and Eigenvectors11.5 Rotation of the EigenvectorsPraise for the First Edition:""I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences.""--BAMS (Bulletin of the American Meteorological Society)Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move resInternational geophysics series ;v. 91.Atmospheric physicsStatistical methodsElectronic books.Atmospheric physicsStatistical methods.551.5Wilks Daniel S447693MiAaPQMiAaPQMiAaPQBOOK9910458499003321Statistical methods in the atmospheric sciences104993UNINA