Statistical Methods in Food and Consumer Research

2008-12-01 Technology & Engineering

Author : Maximo C. Gacula Jr.
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

Statistical Methods in Food and Consumer Research

2013-10-22 Technology & Engineering

Author : Maximo C. Gacula Jr.
Release : 2013-10-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 31X/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 2013-10-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Methods for Food Science

2013-06-21 Technology & Engineering

Author : John A. Bower
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

Author : Are Hugo Pripp
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.

Statistics for Marketing and Consumer Research

2008-05-22 Business & Economics

Author : Mario Mazzocchi
Release : 2008-05-22
Genre : Business & Economics
Kind : eBook
Book Rating : 014/5 ( reviews)

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Book Synopsis Statistics for Marketing and Consumer Research by : Mario Mazzocchi

Download or read book Statistics for Marketing and Consumer Research written by Mario Mazzocchi. This book was released on 2008-05-22. Available in PDF, EPUB and Kindle. Book excerpt: Balancing simplicity with technical rigour, this practical guide to the statistical techniques essential to research in marketing and related fields, describes each method as well as showing how they are applied. The book is accompanied by two real data sets to replicate examples and with exercises to solve, as well as detailed guidance on the use of appropriate software including: - 750 powerpoint slides with lecture notes and step-by-step guides to run analyses in SPSS (also includes screenshots) - 136 multiple choice questions for tests This is augmented by in-depth discussion of topics including: - Sampling - Data management and statistical packages - Hypothesis testing - Cluster analysis - Structural equation modelling

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