LEADER 05438nam 2200661 a 450 001 9910458499003321 005 20200520144314.0 010 $a1-280-64150-9 010 $a9786610641505 010 $a0-08-045622-7 035 $a(CKB)1000000000363523 035 $a(EBL)269991 035 $a(OCoLC)476000639 035 $a(SSID)ssj0000251103 035 $a(PQKBManifestationID)11200070 035 $a(PQKBTitleCode)TC0000251103 035 $a(PQKBWorkID)10245168 035 $a(PQKB)10254061 035 $a(MiAaPQ)EBC269991 035 $a(Au-PeEL)EBL269991 035 $a(CaPaEBR)ebr10138343 035 $a(CaONFJC)MIL64150 035 $a(OCoLC)936844017 035 $a(EXLCZ)991000000000363523 100 $a20060317d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical methods in the atmospheric sciences$b[electronic resource] /$fD.S. Wilks 205 $a2nd ed. 210 $aAmsterdam ;$aBoston $cAcademic Press$dc2006 215 $a1 online resource (649 p.) 225 1 $aInternational geophysics series ;$vv. 91 300 $aDescription based upon print version of record. 311 $a0-12-751966-1 320 $aIncludes bibliographical references (p. 587-610) and index. 327 $aFront 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 Background 327 $a3.2 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 Tests 327 $a5.4 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 Predictands 327 $a7.6 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 Review 327 $a9.4 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 Eigenvectors 327 $a11.5 Rotation of the Eigenvectors 330 $aPraise for the First Edition:""I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences.""--BAMS (Bulletin of the American Meteorological Society)Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move res 410 0$aInternational geophysics series ;$vv. 91. 606 $aAtmospheric physics$xStatistical methods 608 $aElectronic books. 615 0$aAtmospheric physics$xStatistical methods. 676 $a551.5 700 $aWilks$b Daniel S$0447693 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458499003321 996 $aStatistical methods in the atmospheric sciences$9104993 997 $aUNINA