Applied Statistics for Environmental Science with R
eBook - ePub

Applied Statistics for Environmental Science with R

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Applied Statistics for Environmental Science with R

About this book

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.- 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

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Yes, you can access Applied Statistics for Environmental Science with R by Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Business Intelligence. We have over one million books available in our catalogue for you to explore.
Chapter 1

Multivariate Data

Abstract

This chapter addresses the concept of multivariate analysis and other related issues that are necessary to novices who are interested in employing multivariate methods in research, including the nature of the data, organization of the data, and how to apply multivariate methods. In addition to the concept of multivariate analysis, the difference between the concept of univariate statistical methods that deals with a single variable and the concept of multivariate methods is given, both to clarify the idea for the reader and to show the importance of employing multivariate analysis. Moreover, a normal distribution for both cases (univariate and multivariate) is given with the density functions. The concept and related issues are supported by examples from the field of environmental science to clarify the content and concepts in a simple and easy way.

Keywords

Univariate concept; ...

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Preface
  7. Chapter 1: Multivariate Data
  8. Chapter 2: R Statistical Software
  9. Chapter 3: Statistical Notions
  10. Chapter 4: Measures of Center and Variation
  11. Chapter 5: Statistical Hypothesis Testing
  12. Chapter 6: Multivariate Analysis of Variance
  13. Chapter 7: Regression Analysis
  14. Chapter 8: Principal Components
  15. Chapter 9: Factor Analysis
  16. Chapter 10: Discriminant Analysis
  17. Chapter 11: Clustering Approaches
  18. Appendix
  19. Index