Cover for Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R

Book2020

Authors:

Abbas F.M. Alkarkhi and Wasin A.A. Alqaraghuli

Applied Statistics for Environmental Science with R

Book2020

 

Cover for Applied Statistics for Environmental Science with R

Authors:

Abbas F.M. Alkarkhi and Wasin A.A. Alqaraghuli

Browse this book

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 appr ... read full description

Browse content

Table of contents

Actions for selected chapters

Select all / Deselect all

  1. Full text access
  2. Book chapterAbstract only

    Chapter 1 - Multivariate Data

    Pages 1-10

  3. Book chapterAbstract only

    Chapter 2 - R Statistical Software

    Pages 11-27

  4. Book chapterAbstract only

    Chapter 3 - Statistical Notions

    Pages 29-33

  5. Book chapterAbstract only

    Chapter 4 - Measures of Center and Variation

    Pages 35-55

  6. Book chapterAbstract only

    Chapter 5 - Statistical Hypothesis Testing

    Pages 57-86

  7. Book chapterAbstract only

    Chapter 6 - Multivariate Analysis of Variance

    Pages 87-112

  8. Book chapterAbstract only

    Chapter 7 - Regression Analysis

    Pages 113-132

  9. Book chapterAbstract only

    Chapter 8 - Principal Components

    Pages 133-149

  10. Book chapterAbstract only

    Chapter 9 - Factor Analysis

    Pages 151-171

  11. Book chapterAbstract only

    Chapter 10 - Discriminant Analysis

    Pages 173-190

  12. Book chapterAbstract only

    Chapter 11 - Clustering Approaches

    Pages 191-204

  13. Book chapterNo access

    Appendix

    Pages 205-226

  14. 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

You currently don’t have access to this book, however you can purchase separate chapters directly from the table of contents or buy the full version.

Purchase the book

Authors

Abbas F.M. Alkarkhi

Wasin A.A. Alqaraghuli