Statistics for Food Scientists

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

Produk Detail:

  • Author : Frank Rossi
  • Publisher : Academic Press
  • Pages : 184 pages
  • ISBN : 0124171907
  • Rating : 5/5 from 1 reviews
CLICK HERE TO GET THIS BOOKStatistics for Food Scientists

Statistics for Food Scientists

Statistics for Food Scientists
  • Author : Frank Rossi,Victor Mirtchev
  • Publisher : Academic Press
  • Release : 06 October 2015
GET THIS BOOKStatistics for Food Scientists

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

Statistics for Food Scientists

Statistics for Food Scientists
  • Author : Frank Rossi,Victor Mirtchev
  • Publisher : Academic Press
  • Release : 12 October 2015
GET THIS BOOKStatistics for Food Scientists

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

Statistical Methods for Food Science

Statistical Methods for Food Science
  • Author : John A. Bower
  • Publisher : John Wiley & Sons
  • Release : 09 November 2009
GET THIS BOOKStatistical Methods for Food Science

The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist in industry or at study faces the task of using and understanding statistical methods. Statistics is often viewed as a difficult subject and is often avoided because of its complexity and a lack of specific application to the requirements of food science. This situation is changing – there is now much material on multivariate applications for the more advanced reader, but a case exists for a

Easy Statistics for Food Science with R

Easy Statistics for Food Science with R
  • Author : Abbas F. M. Alkarkhi,Wasin A. A. Alqaraghuli
  • Publisher : Academic Press
  • Release : 18 September 2018
GET THIS BOOKEasy Statistics for Food Science with R

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

Statistical Methods for Food Science

Statistical Methods for Food Science
  • Author : John A. Bower
  • Publisher : John Wiley & Sons
  • Release : 21 June 2013
GET THIS BOOKStatistical Methods for Food Science

The recording and analysis of food data are becoming increasingly sophisticated. Consequently, the food scientist inindustry or at study faces the task of using and understandingstatistical methods. Statistics is often viewed as a difficultsubject and is often avoided because of its complexity and a lackof specific application to the requirements of food science. Thissituation is changing – there is now much material onmultivariate applications for the more advanced reader, but a caseexists for a univariate approach aimed at thenon-statistician. This second

Easy Statistics for Food Science with R

Easy Statistics for Food Science with R
  • Author : Abbas F. M. Alkarkhi,Wasin A. A. Alqaraghuli
  • Publisher : Academic Press
  • Release : 01 October 2018
GET THIS BOOKEasy Statistics for Food Science with R

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 presents the use of univariate and multivariate statistical tools for the analyses of data, such as hypothesis testing, regression analysis, analysis of variance (ANOVA), multivariate analysis of variance (MANOVA), principal components analysis (PCA), factor analysis (FA), discriminant analysis (DA), cluster analysis (CA), and multivariate multiple regression.

Statistics for Sensory and Consumer Science

Statistics for Sensory and Consumer Science
  • Author : Tormod Næs,Per Bruun Brockhoff,Oliver Tomic
  • Publisher : John Wiley & Sons
  • Release : 20 June 2011
GET THIS BOOKStatistics for Sensory and Consumer Science

As we move further into the 21st Century, sensory and consumer studies continue to develop, playing an important role in food science and industry. These studies are crucial for understanding the relation between food properties on one side and human liking and buying behaviour on the other. This book by a group of established scientists gives a comprehensive, up-to-date overview of the most common statistical methods for handling data from both trained sensory panels and consumer studies of food. It

Statistics in Food Science and Nutrition

Statistics in Food Science and Nutrition
  • Author : Are Hugo Pripp
  • Publisher : Springer Science & Business Media
  • Release : 10 September 2012
GET THIS BOOKStatistics in Food Science and Nutrition

Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical sciences, and are rarely thought to be driven by food science. Consequently, there is a dearth of statistical methods aimed specifically at food science,

Applied Statistics for Environmental Science with R

Applied Statistics for Environmental Science with R
  • Author : Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli
  • Publisher : Elsevier
  • Release : 13 September 2019
GET THIS BOOKApplied Statistics for Environmental Science with R

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

Introduction to Statistics for Forensic Scientists

Introduction to Statistics for Forensic Scientists
  • Author : David Lucy
  • Publisher : John Wiley & Sons
  • Release : 03 May 2013
GET THIS BOOKIntroduction to Statistics for Forensic Scientists

Introduction to Statistics for Forensic Scientists is anessential introduction to the subject, gently guiding the readerthrough the key statistical techniques used to evaluate varioustypes of forensic evidence. Assuming only a modest mathematicalbackground, the book uses real-life examples from the forensicscience literature and forensic case-work to illustrate relevantstatistical concepts and methods. Opening with a brief overview of the history and use ofstatistics within forensic science, the text then goes on tointroduce statistical techniques commonly used to examine dataobtained during laboratory experiments.

Practical Statistics for Environmental and Biological Scientists

Practical Statistics for Environmental and Biological Scientists
  • Author : John Townend
  • Publisher : John Wiley & Sons
  • Release : 30 April 2013
GET THIS BOOKPractical Statistics for Environmental and Biological Scientists

All students and researchers in environmental and biologicalsciences require statistical methods at some stage of their work.Many have a preconception that statistics are difficult andunpleasant and find that the textbooks available are difficult tounderstand. Practical Statistics for Environmental and BiologicalScientists provides a concise, user-friendly, non-technicalintroduction to statistics. The book covers planning and designingan experiment, how to analyse and present data, and the limitationsand assumptions of each statistical method. The text does not referto a specific computer package but descriptions

Practical Statistics for Engineers and Scientists

Practical Statistics for Engineers and Scientists
  • Author : Nicholas P. Cheremisinoff,Louise Ferrante
  • Publisher : CRC Press
  • Release : 24 September 2020
GET THIS BOOKPractical Statistics for Engineers and Scientists

This book provides direction in constructing regression routines that can be used with worksheet software on personal computers. The book lists useful references for those readers who desire more in-depth understanding of the mathematical bases, and is helpful for science and engineering students.

Applied Statistics for Engineers and Scientists

Applied Statistics for Engineers and Scientists
  • Author : Jay L. Devore,Nicholas R. Farnum,Jimmy A. Doi
  • Publisher : Cengage Learning
  • Release : 08 August 2013
GET THIS BOOKApplied Statistics for Engineers and Scientists

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice. Important Notice: Media content referenced within the product