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Statistical methods in the atmospheric sciences [[electronic resource] /] / Daniel S. Wilks
| Statistical methods in the atmospheric sciences [[electronic resource] /] / Daniel S. Wilks |
| Autore | Wilks Daniel S |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Amsterdam, The Netherlands ; ; Boston, : Elsevier, c2011 |
| Descrizione fisica | 1 online resource (697 p.) |
| Disciplina | 551.5 |
| Collana | International geophysics series |
| Soggetto topico | Atmospheric physics - Statistical methods |
| ISBN |
1-283-10129-7
9786613101297 0-12-385023-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | pt. 1. Preliminaries -- pt. 2. Univariate statistics -- pt. 3. Multivariate statistics. |
| Record Nr. | UNINA-9910790086503321 |
Wilks Daniel S
|
||
| Amsterdam, The Netherlands ; ; Boston, : Elsevier, c2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in the atmospheric sciences [[electronic resource] /] / D.S. Wilks
| Statistical methods in the atmospheric sciences [[electronic resource] /] / D.S. Wilks |
| Autore | Wilks Daniel S |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Academic Press, c2006 |
| Descrizione fisica | 1 online resource (649 p.) |
| Disciplina | 551.5 |
| Collana | International geophysics series |
| Soggetto topico | Atmospheric physics - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-64150-9
9786610641505 0-08-045622-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 Background
3.2 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 5.4 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 7.6 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 9.4 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 11.5 Rotation of the Eigenvectors |
| Record Nr. | UNINA-9910458499003321 |
|
Wilks Daniel S
|
||
| Amsterdam ; ; Boston, : Academic Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in the atmospheric sciences [[electronic resource] /] / D.S. Wilks
| Statistical methods in the atmospheric sciences [[electronic resource] /] / D.S. Wilks |
| Autore | Wilks Daniel S |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Academic Press, c2006 |
| Descrizione fisica | 1 online resource (649 p.) |
| Disciplina | 551.5 |
| Collana | International geophysics series |
| Soggetto topico | Atmospheric physics - Statistical methods |
| ISBN |
1-280-64150-9
9786610641505 0-08-045622-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 Background
3.2 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 5.4 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 7.6 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 9.4 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 11.5 Rotation of the Eigenvectors |
| Record Nr. | UNINA-9910784566603321 |
|
Wilks Daniel S
|
||
| Amsterdam ; ; Boston, : Academic Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in the atmospheric sciences / D.S. Wilks
| Statistical methods in the atmospheric sciences / D.S. Wilks |
| Autore | Wilks, Daniel S. |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Burlington, MA ; London : Academic Press, c2006 |
| Descrizione fisica | xvii, 627 p. : ill., maps ; 27 cm |
| Disciplina | 551.63015195 |
| Collana | International geophysics series ; v. 91 |
| Soggetto topico | Atmospheric physics - Statistical methods |
| Classificazione |
LC QC874.5
52.9.3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991000858249707536 |
|
Wilks, Daniel S.
|
||
| Burlington, MA ; London : Academic Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
| ||
