Mathematical And Statistical Methods In Food Science And Technology

Author : Daniel Granato,Gastón Ares
Publisher : John Wiley & Sons
Page : 540 pages
File Size : 44,5 Mb
Release : 2014-03-03
Category : Technology & Engineering
ISBN : 9781118433683

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Mathematical and Statistical Methods in Food Science and Technology by Daniel Granato,Gastón Ares Pdf

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.

Author : Daniel Ed Granato
Publisher : Unknown
Page : 513 pages
File Size : 42,7 Mb
Release : 2017
Category : Electronic
ISBN : OCLC:1184519041

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Mathematical and Statistical Methods in Food Science and Technology by Daniel Ed Granato Pdf

Author : Surajbhan Sevda,Anoop Singh
Publisher : CRC Press
Page : 443 pages
File Size : 51,8 Mb
Release : 2020-01-30
Category : Mathematics
ISBN : 9780429792540

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Mathematical and Statistical Applications in Food Engineering by Surajbhan Sevda,Anoop Singh Pdf

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.

Author : John A. Bower
Publisher : John Wiley & Sons
Page : 341 pages
File Size : 52,8 Mb
Release : 2013-09-23
Category : Technology & Engineering
ISBN : 9781118541647

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Statistical Methods for Food Science by John A. Bower Pdf

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.

Author : Are Hugo Pripp
Publisher : Springer Science & Business Media
Page : 71 pages
File Size : 46,8 Mb
Release : 2012-09-10
Category : Technology & Engineering
ISBN : 9781461450092

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Statistics in Food Science and Nutrition by Are Hugo Pripp Pdf

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. ​

Author : Abbas F. M. Alkarkhi,Wasin A. A. Alqaraghuli
Publisher : Academic Press
Page : 228 pages
File Size : 47,7 Mb
Release : 2018-09-18
Category : Technology & Engineering
ISBN : 9780128142639

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Easy Statistics for Food Science with R by Abbas F. M. Alkarkhi,Wasin A. A. Alqaraghuli Pdf

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

Author : Michael O'Mahony
Publisher : Routledge
Page : 465 pages
File Size : 45,5 Mb
Release : 2017-11-22
Category : Technology & Engineering
ISBN : 9781351416894

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Sensory Evaluation of Food by Michael O'Mahony Pdf

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.

Author : Maximo C. Gacula Jr.,Jagbir Singh,Jian Bi,Stan Altan
Publisher : Academic Press
Page : 868 pages
File Size : 51,6 Mb
Release : 2008-12-01
Category : Technology & Engineering
ISBN : 9780080920337

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Statistical Methods in Food and Consumer Research by Maximo C. Gacula Jr.,Jagbir Singh,Jian Bi,Stan Altan Pdf

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

Author : Ruguo Hu
Publisher : Routledge
Page : 240 pages
File Size : 48,7 Mb
Release : 2017-10-19
Category : Technology & Engineering
ISBN : 9781351447560

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Food Product Design by Ruguo Hu Pdf

Statistical experimental design is currently used as a quality control technique to achieve product excellence at the lowest overall cost. It can also function as a powerful tool to optimize food products and/or processes, to accelerate food development cycles, reduce research costs, facilitate the transition of products from research and development to manufacturing and troubleshoot manufacturing problems. Food Product Design: A Computer-Aided Statistical Approach familiarizes readers with the methodology of statistical experimental design, and its application in food product design, with the aid of commonly available modern commercial software. Food Product Design presents basic concepts of food product design, then focuses on the most effective statistical techniques and corresponding computer applications for trial design, modeling, and experimental data analysis. The book presents very few theories about mathematics and statistics. Instead, it contains detailed descriptions of how to use popular computer software to solve the real mathematical and statistical problems that occur in product design. Even those with very limited knowledge of statistics and mathematics will find this a useful and highly practical book. Food Product Design: A Computer-Aided Statistical Approach will be a valuable tool for professional food engineers, technologists, scientists, and industrial personnel who want to update and expand their knowledge about computer-aided statistical methods in the field of food product design. Those involved in applied research at universities in food and agriculture, biological and chemical engineering, and statistics will also find it useful and informative.

Author : John A. Bower
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 42,9 Mb
Release : 2009-11-09
Category : Technology & Engineering
ISBN : 1444320955

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Statistical Methods for Food Science by John A. Bower Pdf

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.

Author : Surajbhan Sevda,Anoop Singh
Publisher : CRC Press
Page : 416 pages
File Size : 44,7 Mb
Release : 2020-01-30
Category : Mathematics
ISBN : 9780429792526

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Mathematical and Statistical Applications in Food Engineering by Surajbhan Sevda,Anoop Singh Pdf

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.

Author : Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman
Publisher : CRC Press
Page : 538 pages
File Size : 50,6 Mb
Release : 2019-11-20
Category : Business & Economics
ISBN : 9781000730777

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Data Science and Machine Learning by Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman Pdf

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Author : Maximo C. Gacula, Jr.
Publisher : Elsevier
Page : 505 pages
File Size : 53,7 Mb
Release : 2013-10-22
Category : Technology & Engineering
ISBN : 9780080918310

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Statistical Methods in Food and Consumer Research by Maximo C. Gacula, Jr. Pdf

Food Science and Technology: A Series of Monographs: Statistical Methods in Food and Consumer Research focuses on the applications of statistical methods and specialized techniques in food and consumer research. The publication begins with a review of tools for statistical inference, statistical sensory testing, and analysis of variance and multiple comparison tests. Discussions focus on principles of experimental design, psychophysical aspects of sensory data, scales of measurement, distribution of sensory data, sample size estimation, and analysis of variance. The text then ponders on experimental design and incomplete block experimental designs. The book touches on factorial experiments and response surface designs and analysis. Topics include fitting of response surface design considerations, simple confounding and fractional factorial experiments, composite and rotatable designs, and response surface analysis approach for sensory data. The manuscript then examines shelf life testing experiments, nonparametric statistical methods, and sensory difference tests and selection of panel members. The publication is a dependable source material for researchers, instructors, and applied statisticians.

Author : C. Anandharamakrishnan,Padma Ishwarya S.
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 53,9 Mb
Release : 2015-07-23
Category : Technology & Engineering
ISBN : 9781118864272

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Spray Drying Techniques for Food Ingredient Encapsulation by C. Anandharamakrishnan,Padma Ishwarya S. Pdf

Spray drying is a well-established method for transforming liquid materials into dry powder form. Widely used in the food and pharmaceutical industries, this technology produces high quality powders with low moisture content, resulting in a wide range of shelf stable food and other biologically significant products. Encapsulation technology for bioactive compounds has gained momentum in the last few decades and a series of valuable food compounds, namely flavours, carotenoids and microbial cells have been successfully encapsulated using spray drying. Spray Drying Technique for Food Ingredient Encapsulation provides an insight into the engineering aspects of the spray drying process in relation to the encapsulation of food ingredients, choice of wall materials, and an overview of the various food ingredients encapsulated using spray drying. The book also throws light upon the recent advancements in the field of encapsulation by spray drying, i.e., nanospray dryers for production of nanocapsules and computational fluid dynamics (CFD) modeling. Addressing the basics of the technology and its applications, the book will be a reference for scientists, engineers and product developers in the industry.

Author : Kandethody M. Ramachandran,Chris P. Tsokos
Publisher : Elsevier
Page : 826 pages
File Size : 46,7 Mb
Release : 2014-09-14
Category : Mathematics
ISBN : 9780124171329

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Mathematical Statistics with Applications in R by Kandethody M. Ramachandran,Chris P. Tsokos Pdf

Mathematical Statistics with Applications in R, Second Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining the discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem solving in a logical manner. This book provides a step-by-step procedure to solve real problems, making the topic more accessible. It includes goodness of fit methods to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Exercises as well as practical, real-world chapter projects are included, and each chapter has an optional section on using Minitab, SPSS and SAS commands. The text also boasts a wide array of coverage of ANOVA, nonparametric, MCMC, Bayesian and empirical methods; solutions to selected problems; data sets; and an image bank for students. Advanced undergraduate and graduate students taking a one or two semester mathematical statistics course will find this book extremely useful in their studies. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional section in each chapter on using Minitab, SPSS and SAS commands Wide array of coverage of ANOVA, Nonparametric, MCMC, Bayesian and empirical methods