Statistics for Food Scientists: Making Sense of the Numbers

by Frank Rossi, Victor Mirtchev

Overview

The practical approached championed in this book have led to increasing the quality on many successful products through providing a better understanding of consumer needs, current product and process performance and a desired future state. In 2009, Frank Rossi and Viktor Mirtchev brought their practical statistical thinking forward and created the course "Statistics for Food Scientists. The intent of the course was to help product and process developers increase the probability of their project's success through the incorporation of practical statistical thinking in their challenges. The course has since grown and has become the basis of this book. - Presents detailed descriptions of statistical concepts and commonly used statistical tools to better analyze data and interpret results - Demonstrates thorough examples and specific practical problems of what food scientists face in their work and how the tools of statistics can help them to make more informed decisions - Provides information to show how statistical tools are applied to improve research results, enhance product quality, and promote overall product development

Product Details

ISBN-13:	9780124171909
Publisher:	Elsevier Science & Technology Books
Publication date:	10/06/2015
Sold by:	Barnes & Noble
Format:	eBook
Pages:	184
File size:	15 MB
Note:	This product may take a few minutes to download.

About the Author

Frank Rossi is Associate Director of Statistics at Kraft Foods Group. Much of his career as an industrial statistician has been in the food industry, including positions at the Campbell Soup Company and General Foods Corporation. A frequent presenter at scientific symposiums related to the food industry, he is also a regular presenter at short courses for the consumer products industry. He is the author and co-author of a number of publications on statistics in sensory science and consumer research. He obtained a BS in Mathematics and an MA in Statistics from The Pennsylvania State University.Viktor Mirtchev is an Analytics Manager in the Consumer Insights and Strategy at Kraft Foods. During Viktor's professional tenure, he has held positions in Statistics, Marketing Analytics, Quality and Operations in the CPG, Pharmaceutical and Logistics industries while working at Kraft Foods, Baxter Healthcare and UPS. Over the years Viktor has shared his passion about statistics while teaching fundamentals, solving interesting problems and empowering teams with analytical capabilities. He is a Six Sigma Master Black Belt and holds a BS in Statistics & Computer Science, MS in Applied Statistics and an MBA.
Viktor Mirtchev is an Analytics Manager in the Consumer Insights and Strategy at Kraft Foods. During Viktor’s professional tenure, he has held positions in Statistics, Marketing Analytics, Quality and Operations in the CPG, Pharmaceutical and Logistics industries while working at Kraft Foods, Baxter Healthcare and UPS. Over the years Viktor has shared his passion about statistics while teaching fundamentals, solving interesting problems and empowering teams with analytical capabilities. He is a Six Sigma Master Black Belt and holds a BS in Statistics & Computer Science, MS in Applied Statistics and an MBA.

Table of Contents

CHAPTER 1. IntroductionCHAPTER 2. Descriptive Statistics and Graphical AnalysisCHAPTER 3. Hypothesis TestingCHAPTER 4. Analysis of Variance (ANOVA)CHAPTER 5. Measurement Systems Analysis (MSA)CHAPTER 6. Regression and CorrelationCHAPTER 7. Statistical Process Control (SPC)CHAPTER 8. SamplingCHAPTER 9. Process CapabilityCHAPTER 10. Design of Experiments FoundationCHAPTER 11. Screening Experimental DesignsCHAPTER 12. Response Surface (Optimization) Experimental DesignsCHAPTER 13. Mixture Experimental DesignCHAPTER 14. Wrapping It All Up!

What People are Saying About This

From the Publisher

This book helps readers understand the approaches used by statisticians as they strive to make intelligent and accurate statements about a population from a limited sample, seek to reduce the risk of being seriously mislead about important on-the-job decisions, and try to make data driven decisions that will ultimately lead to stronger predictions for product performance.

Editorial Reviews

"...a useful guide for food researchers in R&D area, for food producers and quality managers, and for all those who work with statistics and data analysis even at the production line to meet consumers’ demands." —Acta Alimentaria, Statistics for Food Scientists

From the Publisher