294 results in Statistics for environmental sciences
Preface
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- Statistics and Data Visualization in Climate Science with R and Python
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7 - Introduction to Time Series
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2 - Elementary Probability and Statistics
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3 - Estimation and Decision-Making
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8 - Spectral Analysis of Time Series
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6 - Covariance Matrices, EOFs, and PCs
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Acknowledgments
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1 - Basics of Climate Data Arrays, Statistics, and Visualization
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Frontmatter
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5 - Matrices for Climate Data
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4 - Regression Models and Methods
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Contents
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9 - Introduction to Machine Learning
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How to Use This Book
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Dedication
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Index
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Statistics and Data Visualization in Climate Science with R and Python
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Index
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- Principles of Data Assimilation
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4 - Tangent Linear and Adjoint Models
- from Part II - Practical Tools
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Frontmatter
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- Principles of Data Assimilation
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