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Chapter 1 - Introduction
Pages 1-9 - Book chapterAbstract only
Chapter 2 - Introduction to R
Pages 11-27 - Book chapterAbstract only
Chapter 3 - Statistical Concepts
Pages 29-32 - Book chapterAbstract only
Chapter 4 - Measures of Location and Dispersion
Pages 33-52 - Book chapterAbstract only
Chapter 5 - Hypothesis Testing
Pages 53-80 - Book chapterAbstract only
Chapter 6 - Comparing Several Population Means
Pages 81-105 - Book chapterAbstract only
Chapter 7 - Regression Models
Pages 107-124 - Book chapterAbstract only
Chapter 8 - Principal Components Analysis
Pages 125-141 - Book chapterAbstract only
Chapter 9 - Factor Analysis
Pages 143-159 - Book chapterAbstract only
Chapter 10 - Discriminant Analysis and Classification
Pages 161-175 - Book chapterAbstract only
Chapter 11 - Cluster Analysis
Pages 177-186 - Book chapterNo access
Appendix
Pages 187-211 - Book chapterNo access
Index
Pages 213-217
About the book
Description
Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs.
This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data.
Easy Statistics for Food Science with R presents the application of statistical techniques to assist students and researchers who work in food science and food engineering in choosing the appropriate statistical technique. The book focuses on the use of univariate and multivariate statistical methods in the field of food science. The techniques are presented in a simplified form without relying on complex mathematical proofs.
This book was written to help researchers from different fields to analyze their data and make valid decisions. The development of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods for the analysis and interpretation of data. R statistical software is used throughout the book to analyze the data.
Key Features
- Contains numerous step-by-step tutorials help the reader to learn quickly
- Covers the theory and application of the statistical techniques
- Shows how to analyze data using R software
- Provides R scripts for all examples and figures
- Contains numerous step-by-step tutorials help the reader to learn quickly
- Covers the theory and application of the statistical techniques
- Shows how to analyze data using R software
- Provides R scripts for all examples and figures
Details
ISBN
978-0-12-814262-2
Language
English
Published
2019
Copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
Imprint
Academic Press