Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgments
- How to Use This Book
- 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
- Index
Preface
Published online by Cambridge University Press: 09 November 2023
- Frontmatter
- Dedication
- Contents
- Preface
- Acknowledgments
- How to Use This Book
- 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
- Index
Summary
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- Type
- Chapter
- Information
- Statistics and Data Visualization in Climate Science with R and Python , pp. xiii - xviiiPublisher: Cambridge University PressPrint publication year: 2023