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Preface
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- Statistics and Data Visualization in Climate Science with R and Python
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- 09 November 2023
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- 30 November 2023, pp xiii-xviii
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7 - Introduction to Time Series
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- Statistics and Data Visualization in Climate Science with R and Python
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- 30 November 2023, pp 243-286
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2 - Elementary Probability and Statistics
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- 30 November 2023, pp 35-72
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3 - Estimation and Decision-Making
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- 30 November 2023, pp 73-120
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8 - Spectral Analysis of Time Series
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- 30 November 2023, pp 287-328
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6 - Covariance Matrices, EOFs, and PCs
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- 30 November 2023, pp 200-242
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Acknowledgments
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1 - Basics of Climate Data Arrays, Statistics, and Visualization
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- 30 November 2023, pp 1-34
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Frontmatter
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- Statistics and Data Visualization in Climate Science with R and Python
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- 30 November 2023, pp i-iv
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5 - Matrices for Climate Data
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- 30 November 2023, pp 165-199
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4 - Regression Models and Methods
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- 30 November 2023, pp 121-164
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Contents
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- 30 November 2023, pp vii-xii
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9 - Introduction to Machine Learning
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- Statistics and Data Visualization in Climate Science with R and Python
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- 30 November 2023, pp 329-386
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How to Use This Book
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Dedication
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Index
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- 30 November 2023, pp 387-392
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Statistics and Data Visualization in Climate Science with R and Python
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3 - Basic Statistical Methods for Climate Data Analysis
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- Climate Mathematics
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- 30 July 2019
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- 19 September 2019, pp 37-74
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Acknowledgements
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- Climate Mathematics
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8 - Conservation Laws in Climate Dynamics
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- Climate Mathematics
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- 30 July 2019
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- 19 September 2019, pp 203-228
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