Statistical Methods For Food Science
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Statistical Methods For Food Science
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Author : John A. Bower
language : en
Publisher: John Wiley & Sons
Release Date : 2009-11-09
Statistical Methods For Food Science written by John A. Bower and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-09 with Technology & Engineering categories.
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.
Easy Statistics For Food Science With R
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Author : Abbas F.M. Alkarkhi
language : en
Publisher: Academic Press
Release Date : 2018-09-18
Easy Statistics For Food Science With R written by Abbas F.M. Alkarkhi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-18 with Technology & Engineering categories.
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. - 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
Statistics In Food Science And Nutrition
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Author : Are Hugo Pripp
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-13
Statistics In Food Science And Nutrition written by Are Hugo Pripp and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-13 with Technology & Engineering categories.
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 For Food Science
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Author : John A. Bower
language : en
Publisher: John Wiley & Sons
Release Date : 2013-09-23
Statistical Methods For Food Science written by John A. Bower and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-23 with Technology & Engineering categories.
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.
Statistical Methods In Food And Consumer Research
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Author : Maximo C. Gacula Jr.
language : en
Publisher: Academic Press
Release Date : 2008-12-01
Statistical Methods In Food And Consumer Research written by Maximo C. Gacula Jr. and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-01 with Technology & Engineering categories.
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
Sensory Evaluation Of Food
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Author : Michael O'Mahony
language : en
Publisher: Routledge
Release Date : 2017-11-22
Sensory Evaluation Of Food written by Michael O'Mahony and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Technology & Engineering categories.
Sensory Evaluation of Food: Statistical Methods and Procedure covers all of the basic techniques of sensory testing, from simple discrimination tests to home use placements for consumers. Providing a practical guide to how tests are conducted, the book explores the fundamental psychological and statistical theories that form the basis and rationale for sensory test design. It also demonstrates how statistics used in sensory evaluation can be applied in integrated applications in the context of appropriate sensory methods, as well as in stand-alone material in appendices. Offering a balanced view of diverse approaches, this is an essential guide for industry professionals and students.
Statistical Methods For Food And Agriculture
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Author : Filmore E Bender
language : en
Publisher: CRC Press
Release Date : 2020-08-19
Statistical Methods For Food And Agriculture written by Filmore E Bender and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-19 with Science categories.
This classic book will meet the needs of food and agricultural industries in both their research and business needs. Learn the fundamentals of applying statistics to the business and research needs in the food and agricultural industries. Statistical Methods for Food and Agriculture is a practical, hands-on resource that explores how statistics, a relatively recent development for science and business, facilitates the decision-making process. The range of techniques and applications explained and demonstrated in each of the four major sections of this volume provides a substantial course of study for those in business, government, and universities dealing with food, agriculture, and economics. Part I provides an introduction to the uses of statistics today, including basic concepts and definitions. Part II examines the statistical needs of the food researcher. The emphasis is on design of planned experiments, the analysis of data generated by planned experiments, and decision making in a research environment. Part III deals with statistical procedures that have a wide range of uses for the researcher and business analyst in both business and research situations. Part IV focuses on those statistical methods that have primarily a business application. This important volume is sufficiently detailed to enable the reader to learn and develop without outside assistance. References lead to more detailed presentations for those desiring additional specialized information, and helpful exercises at the end of each chapter permit the book?s use as a textbook as well.
Statistics For Sensory And Consumer Science
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Author : Tormod Næs
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-20
Statistics For Sensory And Consumer Science written by Tormod Næs and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-20 with Technology & Engineering categories.
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 presents the topic in two distinct sections: problem-orientated (Part I) and method orientated (Part II), making it to appropriate for people at different levels with respect to their statistical skills. This book succesfully: Makes a clear distinction between studies using a trained sensory panel and studies using consumers. Concentrates on experimental studies with focus on how sensory assessors or consumers perceive and assess various product properties. Focuses on relationships between methods and techniques and on considering all of them as special cases of more general statistical methodologies It is assumed that the reader has a basic knowledge of statistics and the most important data collection methods within sensory and consumer science. This text is aimed at food scientists and food engineers working in research and industry, as well as food science students at master and PhD level. In addition, applied statisticians with special interest in food science will also find relevant information within the book.
Mathematical And Statistical Applications In Food Engineering
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Author : Surajbhan Sevda
language : en
Publisher: CRC Press
Release Date : 2020-01-30
Mathematical And Statistical Applications In Food Engineering written by Surajbhan Sevda and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-30 with Mathematics categories.
Written by experts from all over the world, the book comprises the latest applications of mathematical and models in food engineering and fermentation. It provides the fundamentals on statistical methods to solve standard problems associated with food engineering and fermentation technology. Combining theory with a practical, hands-on approach, this book covers key aspects of food engineering. Presenting cuttingedge information, the book is an essential reference on the fundamental concepts associated with food engineering.
Statistical Aspects Of The Microbiological Examination Of Foods
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Author : Basil Jarvis
language : en
Publisher: Academic Press
Release Date : 2008-07-01
Statistical Aspects Of The Microbiological Examination Of Foods written by Basil Jarvis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-01 with Science categories.
For many biologists, statistics are an anathema; but statistical analysis of quantitative and qualitative data is of considerable importance. Although spreadsheet software provides a diverse range of statistical tools, users are usually unsure which technique should be used. This book provides the basic statistical theory and practice to understand the types of tests frequently needed for the assessment of microbiological data. No prior knowledge of statistical techniques is required. Even when data can be given to a professional statistician for analysis, the microbiologist needs to have at least a general understanding of the underlying basis of statistical procedures in order to communicate effectively with the statistician. The book contains many worked examples to illustrate the use of the techniques and provides a plethora of references both to standard statistical works and to relevant original scientific papers on food microbiology. - Basil Jarvis has had many years of experience in academic, research and industrial food microbiology and is a Past President of the Society for Applied Microbiology. He has published several edited books and more than 200 scientific articles concerned with food microbiology - NEW to this edition - chapters on Measurement Uncertainty in Microbiology, Statistical Process Control, Food Safety Objectives, Risk Assessment and Microbiological Criteria and a chapter on Validation of Microbiological Methods by Dr Sharon Brunelle, AOAC consultant - Includes additional figures and tables together with many worked examples to illustrate the use of specific procedures in the analysis of data obtained in the microbiological examination of foods