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Elsevier

Easy Statistics for Food Science with R

  • 1st Edition - September 18, 2018
  • Latest edition
  • Authors: Abbas F.M. Alkarkhi, Wasin A. A. Alqaraghuli
  • Language: English

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 engineeri… Read more

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.

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

Readership

Undergraduate students, postgraduate students, and researchers in food science

Table of contents

1. Introduction2. Introduction to R3. Statistical Concepts4. Measures of Location and Dispersion5. Hypothesis Testing6. Comparing Several Population Means7. Regression Models8. Principal Component Analysis9. Factor Analysis10. Discriminant Analysis and Classification 11. Cluster Analysis

Product details

  • Edition: 1
  • Latest edition
  • Published: September 18, 2018
  • Language: English

About the authors

AA

Abbas F.M. Alkarkhi

Abbas F. M. Alkarkhi received his Ph.D. in applied statistics from the University of Science, Malaysia (2002). He received his BSc and MSc in statistics from University of Baghdad in 1985 and 1992 respectively. Dr. Alkarkhi spent 14 years as a faculty member in the School of Industrial Technology at University of Science Malaysia (2002-2016), then moved to Kuala Lumpur University (2016-current). Before joining a Ph.D. study, he worked in Iraq for two years and in Libya for five years as a lecturer. He has published more than 90 papers in international journals and more than 40 in conferences, and is the author of three books.
Affiliations and expertise
Universiti Kuala Lumpur (Unikl), Malaysia

WA

Wasin A. A. Alqaraghuli

Dr. Alqaraghuli received her BSc and MSc in statistics from Al-Mustansirya University. She worked at a specialized institute for engineering industries in Iraq, and during this time, she conducted training in statistical methods. She also worked at the University level in Iraq, Jordan and then Libya after receiving her MSc in statistics. In 2014, Dr. Alqaraghuli received her Ph.D from the school of mathematical sciences at the University of Science, Malaysia. Dr. Alqaraghuli’s research is focused on the application of experimental design, modeling, and multivariate. She is currently self-employed and conducts workshops for non-statisticians while also conducting research.
Affiliations and expertise
Self-employed, Kajang, Malaysia

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