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Autorenporträt
Samuel S. P. Shen is Distinguished Professor of Mathematics and Statistics at San Diego State University, and Visiting Research Mathematician at Scripps Institution of Oceanography, University of California, San Diego. Formerly, he was McCalla Professor of Mathematical and Statistical Sciences at the University of Alberta, Canada, and President of the Canadian Applied and Industrial Mathematics Society. He has held visiting positions at the NASA Goddard Space Flight Center, the NOAA Climate Prediction Center, and the University of Tokyo. Shen holds a B.Sc. degree in Engineering Mechanics and a Ph.D. degree in Applied Mathematics.
Inhaltsangabe
1. Basics of Climate Data Arrays, Statistics, and Visualization 2. Elementary Probability and Statistics 3. Estimation and Decision Making 4. Regression Models and Methods 5. Matrices for Climate Data 6. Covariance Matrices, EOFs, and PCs 7. Introduction to Time Series 8. Spectral Analysis of Time Series 9. Introduction to Machine Learning References and Further Reading Exercises Index.
1. Basics of Climate Data Arrays, Statistics, and Visualization 2. Elementary Probability and Statistics 3. Estimation and Decision Making 4. Regression Models and Methods 5. Matrices for Climate Data 6. Covariance Matrices, EOFs, and PCs 7. Introduction to Time Series 8. Spectral Analysis of Time Series 9. Introduction to Machine Learning References and Further Reading Exercises Index.
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