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Englisch
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Beschreibung
Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.
Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.
Über den Autor
Douglas G. Martinson is a Lamont Research Professor in the Division of Ocean and Climate Physics at Columbia University's Lamont-Doherty Earth Observatory. A physical oceanographer who researches the role of polar oceans in global climate, his research involves the collection of a large amount of data and considerable quantitative analysis. He developed the course on Quantitative Methods of Data Analysis as an Adjunct Professor for the Department of Earth and Environmental Sciences at Columbia University, New York, and received an Outstanding Teacher Award in 2004.
Inhaltsverzeichnis
Part I. Fundamentals: 1. The nature of data and analysis; 2. Probability theory; 3. Statistics; Part II. Fitting Curves to Data; 4. Interpolation; 5. Smoothed curve fitting; 6. Special curve fitting; Part III. Sequential Data Fundamentals: 7. Serial products; 8. Fourier series; 9. Fourier transform; 10. Fourier sampling theory; 11. Spectral analysis; 12. Cross spectral analysis; 13. Filtering and deconvolution; 14. Linear parametric models; 15. Empirical orthogonal function (EOF) analysis; A1. Overview of matrix algebra; A2. Uncertainty analysis; References; Index.
Details
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Kommunikationswissenschaften |
Genre: | Medienwissenschaften |
Rubrik: | Wissenschaften |
Medium: | Buch |
Seiten: | 632 |
ISBN-13: | 9781107029767 |
ISBN-10: | 1107029767 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC gerader Rücken kaschiert |
Einband: | Gebunden |
Autor: | Martinson, Douglas G. |
Hersteller: | Cambridge University Press |
Maße: | 260 x 183 x 38 mm |
Von/Mit: | Douglas G. Martinson |
Erscheinungsdatum: | 12.02.2019 |
Gewicht: | 1,368 kg |
Über den Autor
Douglas G. Martinson is a Lamont Research Professor in the Division of Ocean and Climate Physics at Columbia University's Lamont-Doherty Earth Observatory. A physical oceanographer who researches the role of polar oceans in global climate, his research involves the collection of a large amount of data and considerable quantitative analysis. He developed the course on Quantitative Methods of Data Analysis as an Adjunct Professor for the Department of Earth and Environmental Sciences at Columbia University, New York, and received an Outstanding Teacher Award in 2004.
Inhaltsverzeichnis
Part I. Fundamentals: 1. The nature of data and analysis; 2. Probability theory; 3. Statistics; Part II. Fitting Curves to Data; 4. Interpolation; 5. Smoothed curve fitting; 6. Special curve fitting; Part III. Sequential Data Fundamentals: 7. Serial products; 8. Fourier series; 9. Fourier transform; 10. Fourier sampling theory; 11. Spectral analysis; 12. Cross spectral analysis; 13. Filtering and deconvolution; 14. Linear parametric models; 15. Empirical orthogonal function (EOF) analysis; A1. Overview of matrix algebra; A2. Uncertainty analysis; References; Index.
Details
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Kommunikationswissenschaften |
Genre: | Medienwissenschaften |
Rubrik: | Wissenschaften |
Medium: | Buch |
Seiten: | 632 |
ISBN-13: | 9781107029767 |
ISBN-10: | 1107029767 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC gerader Rücken kaschiert |
Einband: | Gebunden |
Autor: | Martinson, Douglas G. |
Hersteller: | Cambridge University Press |
Maße: | 260 x 183 x 38 mm |
Von/Mit: | Douglas G. Martinson |
Erscheinungsdatum: | 12.02.2019 |
Gewicht: | 1,368 kg |
Warnhinweis