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Statistical Methods for Food Science

2009-11-09 Technology & Engineering
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Release : 2009-11-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 954/5 ( reviews)

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Book Synopsis Statistical Methods for Food Science by : John A. Bower

Download or read book Statistical Methods for Food Science written by John A. Bower. This book was released on 2009-11-09. Available in PDF, EPUB and Kindle. Book excerpt: 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 univariate approach aimed at the non-statistician. This book provides a source text on accessible statistical procedures for the food scientist, and is aimed at professionals and students in food laboratories where analytical, instrumental and sensory data are gathered and require some form of summary and analysis before interpretation. It is suitable for the food analyst, the sensory scientist and the product developer, and others who work in food-related disciplines involving consumer survey investigations will also find many sections of use. There is an emphasis on a ‘hands on’ approach, and worked examples using computer software packages and the minimum of mathematical formulae are included. The book is based on the experience and practice of a scientist engaged for many years in research and teaching of analytical and sensory food science at undergraduate and post-graduate level.

Statistical Methods for Food Science

2013-06-21 Technology & Engineering
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Release : 2013-06-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 626/5 ( reviews)

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Book Synopsis Statistical Methods for Food Science by : John A. Bower

Download or read book Statistical Methods for Food Science written by John A. Bower. This book was released on 2013-06-21. Available in PDF, EPUB and Kindle. Book excerpt: 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 univariate approach aimed at the non-statistician. This second edition of Statistical Methods for Food Science provides a source text on accessible statistical procedures for the food scientist, and is aimed at professionals and students in food laboratories where analytical, instrumental and sensory data are gathered and require some form of summary and analysis before interpretation. It is suitable for the food analyst, the sensory scientist and the product developer, and others who work in food-related disciplines involving consumer survey investigations will also find many sections of use. There is an emphasis on a ‘hands-on’ approach, and worked examples using computer software packages and the minimum of mathematical formulae are included. The book is based on the experience and practice of a scientist engaged for many years in research and teaching of analytical and sensory food science at undergraduate and post-graduate level. This revised and updated second edition is accompanied by a new companion website giving the reader access to the datasets and Excel spreadsheets featured in the book. Check it out now by visiting www.wiley.com/go/bower/statistical or by scanning the QR code below.

Statistics in Food Science and Nutrition

2012-09-10 Technology & Engineering
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Release : 2012-09-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 098/5 ( reviews)

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Book Synopsis Statistics in Food Science and Nutrition by : Are Hugo Pripp

Download or read book Statistics in Food Science and Nutrition written by Are Hugo Pripp. This book was released on 2012-09-10. Available in PDF, EPUB and Kindle. Book excerpt: 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, forcing researchers to utilize methods intended for other disciplines. The objective of this Brief will be to highlight the most needed and relevant statistical methods in food science and thus eliminate the need to learn about these methods from other fields. All methods and their applications will be illustrated with examples from research literature. ​

Statistical Methods in Food and Consumer Research

2008-12-01 Technology & Engineering
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Release : 2008-12-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 330/5 ( reviews)

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Book Synopsis Statistical Methods in Food and Consumer Research by : Maximo C. Gacula Jr.

Download or read book Statistical Methods in Food and Consumer Research written by Maximo C. Gacula Jr.. This book was released on 2008-12-01. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods in Food and Consumer Research, Second Edition, continues to be the only book to focus solely on the statistical techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent applications of statistical methods, and features significant updates as well as two new chapters. Covering the application of techniques including R-index, the Bayesian approach for sensory differences tests, and preference mapping in addition to several other methodologies, this is the comprehensive reference needed by those studying sensory evaluation and applied statistics in agriculture and biological sciences. Research professionals working with food, beverages, healthcare, cosmetics, and other related areas will find the book a valuable guide to the variety of statistical methods available. Provides comprehensive coverage of statistical techniques in sensory testing Includes data compiled from real-world experiments Covers the latest in data interpretation and analysis Addresses key methods such as R-index, Thursonian Discriminal Distances, group sequential tests, beta-binomial tests, sensory difference and similarity tests, just-about-right data, signal-to-noise ratio, analysis of cosmetic data, Descriptive Analysis, claims substantiation and preference mapping

Mathematical and Statistical Methods in Food Science and Technology

2014-03-03 Technology & Engineering
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Release : 2014-03-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 688/5 ( reviews)

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Book Synopsis Mathematical and Statistical Methods in Food Science and Technology by : Daniel Granato

Download or read book Mathematical and Statistical Methods in Food Science and Technology written by Daniel Granato. This book was released on 2014-03-03. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and Statistical Approaches in Food Science and Technology offers an accessible guide to applying statistical and mathematical technologies in the food science field whilst also addressing the theoretical foundations. Using clear examples and case-studies by way of practical illustration, the book is more than just a theoretical guide for non-statisticians, and may therefore be used by scientists, students and food industry professionals at different levels and with varying degrees of statistical skill.

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