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. …mehr
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. Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
CHAPTER 1. Introduction CHAPTER 2. Descriptive Statistics and Graphical Analysis CHAPTER 3. Hypothesis Testing CHAPTER 4. Analysis of Variance (ANOVA) CHAPTER 5. Measurement Systems Analysis (MSA) CHAPTER 6. Regression and Correlation CHAPTER 7. Statistical Process Control (SPC) CHAPTER 8. Sampling CHAPTER 9. Process Capability CHAPTER 10. Design of Experiments Foundation CHAPTER 11. Screening Experimental Designs CHAPTER 12. Response Surface (Optimization) Experimental Designs CHAPTER 13. Mixture Experimental Design CHAPTER 14. Wrapping It All Up!
CHAPTER 1. Introduction CHAPTER 2. Descriptive Statistics and Graphical Analysis CHAPTER 3. Hypothesis Testing CHAPTER 4. Analysis of Variance (ANOVA) CHAPTER 5. Measurement Systems Analysis (MSA) CHAPTER 6. Regression and Correlation CHAPTER 7. Statistical Process Control (SPC) CHAPTER 8. Sampling CHAPTER 9. Process Capability CHAPTER 10. Design of Experiments Foundation CHAPTER 11. Screening Experimental Designs CHAPTER 12. Response Surface (Optimization) Experimental Designs CHAPTER 13. Mixture Experimental Design CHAPTER 14. Wrapping It All Up!
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"...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
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