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Chapter 1 - Multivariate Data
Pages 1-10 - Book chapterAbstract only
Chapter 2 - R Statistical Software
Pages 11-27 - Book chapterAbstract only
Chapter 3 - Statistical Notions
Pages 29-33 - Book chapterAbstract only
Chapter 4 - Measures of Center and Variation
Pages 35-55 - Book chapterAbstract only
Chapter 5 - Statistical Hypothesis Testing
Pages 57-86 - Book chapterAbstract only
Chapter 6 - Multivariate Analysis of Variance
Pages 87-112 - Book chapterAbstract only
Chapter 7 - Regression Analysis
Pages 113-132 - Book chapterAbstract only
Chapter 8 - Principal Components
Pages 133-149 - Book chapterAbstract only
Chapter 9 - Factor Analysis
Pages 151-171 - Book chapterAbstract only
Chapter 10 - Discriminant Analysis
Pages 173-190 - Book chapterAbstract only
Chapter 11 - Clustering Approaches
Pages 191-204 - Book chapterNo access
Appendix
Pages 205-226 - Book chapterNo access
Index
Pages 227-229
About the book
Description
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems.
Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems.
Key Features
- Includes step-by-step tutorials to aid in understanding the process and implementation of unique data
- Presents statistical theory in a simple way without complex mathematical proofs
- Shows how to analyze data using R software and provides R scripts for all examples and figures
- Includes step-by-step tutorials to aid in understanding the process and implementation of unique data
- Presents statistical theory in a simple way without complex mathematical proofs
- Shows how to analyze data using R software and provides R scripts for all examples and figures
Details
ISBN
978-0-12-818622-0
Language
English
Published
2020
Copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Imprint
Elsevier