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Statistical Methods for Climate Scientists
Buch von Timothy Delsole (u. a.)
Sprache: Englisch

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Beschreibung
An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible reference for students in the climate sciences.
An introduction to the most commonly used statistical methods in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, with statistical and scientific concepts explained as needed. Requiring no previous background in statistics, it is an accessible reference for students in the climate sciences.
Über den Autor
Timothy M. DelSole is Professor in the Department of Atmospheric, Oceanic, and Earth Sciences, and Senior Scientist at the Center for Oceanic Atmospheric, and Land Studies, at George Mason University, Virginia. He has published over one hundred peer-reviewed papers in climate science and served as co-Editor-in-Chief of the Journal of Climate.
Inhaltsverzeichnis
1. Basic Concepts in Probability and Statistics; 2. Hypothesis Tests; 3. Confidence Intervals; 4. Statistical Tests Based on Ranks; 5. Introduction to Stochastic Processes; 6. The Power Spectrum; 7. Introduction to Multivariate Methods; 8. Linear Regression: Least Squares Estimation; 9. Linear Regression: Inference; 10. Model Selection; 11. Screening: A Pitfall in Statistics; 12. Principal Component Analysis; 13. Field Significance; 14. Multivariate Linear Regression; 15. Canonical Correlation Analysis; 16. Covariance Discriminant Analysis; 17. Analysis of Variance and Predictability; 18. Predictable Component Analysis; 19. Extreme Value Theory; 20. Data Assimilation; 21. Ensemble Square Root Filters; 22. Appendix; References; Index.
Details
Erscheinungsjahr: 2022
Fachbereich: Allgemeines
Genre: Geowissenschaften
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 544
Inhalt: Gebunden
ISBN-13: 9781108472418
ISBN-10: 1108472419
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Delsole, Timothy
Tippett, Michael
Hersteller: Cambridge University Press
Maße: 250 x 175 x 34 mm
Von/Mit: Timothy Delsole (u. a.)
Erscheinungsdatum: 24.02.2022
Gewicht: 1,109 kg
preigu-id: 120351208
Über den Autor
Timothy M. DelSole is Professor in the Department of Atmospheric, Oceanic, and Earth Sciences, and Senior Scientist at the Center for Oceanic Atmospheric, and Land Studies, at George Mason University, Virginia. He has published over one hundred peer-reviewed papers in climate science and served as co-Editor-in-Chief of the Journal of Climate.
Inhaltsverzeichnis
1. Basic Concepts in Probability and Statistics; 2. Hypothesis Tests; 3. Confidence Intervals; 4. Statistical Tests Based on Ranks; 5. Introduction to Stochastic Processes; 6. The Power Spectrum; 7. Introduction to Multivariate Methods; 8. Linear Regression: Least Squares Estimation; 9. Linear Regression: Inference; 10. Model Selection; 11. Screening: A Pitfall in Statistics; 12. Principal Component Analysis; 13. Field Significance; 14. Multivariate Linear Regression; 15. Canonical Correlation Analysis; 16. Covariance Discriminant Analysis; 17. Analysis of Variance and Predictability; 18. Predictable Component Analysis; 19. Extreme Value Theory; 20. Data Assimilation; 21. Ensemble Square Root Filters; 22. Appendix; References; Index.
Details
Erscheinungsjahr: 2022
Fachbereich: Allgemeines
Genre: Geowissenschaften
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Seiten: 544
Inhalt: Gebunden
ISBN-13: 9781108472418
ISBN-10: 1108472419
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Delsole, Timothy
Tippett, Michael
Hersteller: Cambridge University Press
Maße: 250 x 175 x 34 mm
Von/Mit: Timothy Delsole (u. a.)
Erscheinungsdatum: 24.02.2022
Gewicht: 1,109 kg
preigu-id: 120351208
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