Analyzing Sensory Data With R

Autor: Sebastien Le
Publisher: CRC Press
ISBN: 146656573X
File Size: 79,23 MB
Format: PDF, Docs
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Choose the Proper Statistical Method for Your Sensory Data Issue Analyzing Sensory Data with R gives you the foundation to analyze and interpret sensory data. The book helps you find the most appropriate statistical method to tackle your sensory data issue. Covering quantitative, qualitative, and affective approaches, the book presents the big picture of sensory evaluation. Through an integrated approach that connects the different dimensions of sensory evaluation, you’ll understand: The reasons why sensory data are collected The ways in which the data are collected and analyzed The intrinsic meaning of the data The interpretation of the data analysis results Each chapter corresponds to one main sensory topic. The chapters start with presenting the nature of the sensory evaluation and its objectives, the sensory particularities related to the sensory evaluation, details about the data set obtained, and the statistical analyses required. Using real examples, the authors then illustrate step by step how the analyses are performed in R. The chapters conclude with variants and extensions of the methods that are related to the sensory task itself, the statistical methodology, or both.

Sensory And Instrumental Evaluation Of Alcoholic Beverages

Autor: Hildegarde Heymann
Publisher: Academic Press
ISBN: 0128027479
File Size: 74,23 MB
Format: PDF, ePub, Docs
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Sensory and Instrumental Evaluation of Alcoholic Beverages introduces the value of sensory analysis to the alcoholic beverage industry through the detailed lens of sensory analysis techniques. From traditional methods, to the most modern rapid methods, this book presents comprehensive insights and applications. Analytical methods for identifying and assessing the flavor compounds present in the beverages are included that address both volatile and non-volatile techniques, along with rapid methods of assessment. Case studies highlight the testing of different types of alcoholic beverages running the entire gamut of methods and the appropriate subset of methods. Also included is information of data analyses with the appropriate R-codes to allow practitioners to use the book as a handbook to analyze their own data. Uniquely focused on alcoholic beverages and their assessment Includes real-world information for practical application Presents a full range of methodologies, providing key comparative insights

Discrimination Testing In Sensory Science

Autor: Lauren Rogers
Publisher: Woodhead Publishing
ISBN: 0081011164
File Size: 65,38 MB
Format: PDF
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Discrimination Testing in Sensory Science: A Practical Handbook is a one-stop-shop for practical advice and guidance on the performance and analysis of discrimination testing in sensory science. The book covers all aspects of difference testing: the history and origin of different methods, the practicalities of setting up a difference test, replications, the statistics behind each test, dealing with the analysis, action standards, and the statistical analysis of results with R. The book is written by sensory science experts from both academia and industry, and edited by an independent sensory scientist with over twenty years of experience in planning, running and analyzing discrimination tests. This is an essential text for academics in sensory and consumer science and any sensory scientist working in research and development in food, home, and personal care products, new product development, or quality control. Contains practical guidance on the performance and analysis of discrimination testing in sensory and consumer science for both food and non-food products Includes the latest developments in difference testing, including both new methods and state-of-the-art approaches Features extensive coverage of analysis with a variety of software systems Provides essential insight for academics in sensory and consumer science and any sensory scientist working in research and development in food, home, and personal care products, new product development, or quality control

Individual Differences In Sensory And Consumer Science

Autor: Tormod Næs
Publisher: Woodhead Publishing
ISBN: 0081011148
File Size: 64,77 MB
Format: PDF, Mobi
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Individual Differences in Sensory and Consumer Science: Experimentation, Analysis and Interpretation presents easily readable, state-of-the-art coverage on how to plan and execute experiments that give rise to individual differences, also providing the framework for successful analysis and interpretation of results. The book highlights the different methodologies that can be applied and how to select the correct methodology based on the type of study you are performing, be it product research and development, quality control or consumer acceptance studies. Written by an experienced team of statisticians and sensory and consumer scientists, the book provides both academics and industry professionals with the first complete overview of a topic of ever-increasing importance. Identifies how to plan and execute experiments in sensory and consumer science Analyzes and interprets individual variances in sensory and consumer research Differentiates best practices for examining product development, quality control and consumer acceptance

Rapid Sensory Profiling Techniques

Autor: J Delarue
Publisher: Elsevier
ISBN: 1782422587
File Size: 18,19 MB
Format: PDF, Docs
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Sensory analysis is an important tool in new product development. There has recently been significant development in the methods used to capture sensory perception of a product. Rapid Sensory Profiling Techniques provides a comprehensive review of rapid methods for sensory analysis that can be used as alternatives or complementary to conventional descriptive methods. Part one looks at the evolution of sensory perception capture methods. Part two focuses on rapid methods used to capture sensory perception, and part three covers their applications in new product development and consumer research. Finally, part four explores the applications of rapid methods in testing specific populations.

Easy Statistics For Food Science With R

Autor: Abbas F. M. Alkarkhi
Publisher: Academic Press
ISBN: 0128142634
File Size: 53,49 MB
Format: PDF
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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

Head First Data Analysis

Autor: Michael Milton
Publisher: "O'Reilly Media, Inc."
ISBN: 1449392024
File Size: 45,16 MB
Format: PDF, ePub, Mobi
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Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

Multiple Factor Analysis By Example Using R

Autor: Jérôme Pagès
Publisher: CRC Press
ISBN: 1498786693
File Size: 56,94 MB
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Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.

Machine Learning Ecml 2004

Autor: Jean-Francois Boulicaut
Publisher: Springer Science & Business Media
ISBN: 3540231056
File Size: 37,25 MB
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This book constitutes the refereed proceedings of the 15th European Conference on Machine Learning, ECML 2004, held in Pisa, Italy, in September 2004, jointly with PKDD 2004. The 45 revised full papers and 6 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 280 papers submitted to ECML and 107 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.

Sensory Directed Flavor Analysis

Autor: Ray Marsili
Publisher: CRC Press
ISBN: 9781420017045
File Size: 37,63 MB
Format: PDF, Mobi
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Today, flavor chemists can generate copious amounts of data in a short time with relatively little effort using automated solid phase micro-extraction, Gerstel-Twister® and other extraction techniques in combination with gas chromatographic (GC) analysis. However, more data does not necessarily mean better understanding. In fact, the ability to extract, isolate, and concentrate potential flavor-important chemicals from complex food systems has surpassed the ability to understand how the chemical data relates to flavor. Sensory-Directed Flavor Analysis helps chemists unlock the flavor secrets that may be hiding in their chromatograms by translating cold hard numbers into a better understanding of the sense of smell and taste. The author integrates the two disciplines of sensory science and analytical chemistry, encouraging sensory scientists to incorporate more analytical data while encouraging analytical chemists to include more sensory techniques. Using more ancillary techniques helps each discipline elucidate how various chemical constituents influence food flavor and appeal. The book discusses important enabling technologies and analytical methods including GC-olfactometry (GC-O), combination GC-O and multi-dimensional GC, the application of odor activity values (OAVs), and recombination studies, as well as solid-phase dynamic extraction and preseparation techniques. A broad array of applications, in addition to dozens of tables, graphs, gas chromatograms, and pictures, are included throughout the book. Highlighting the advantages and disadvantages and the appropriate circumstances for each method of analysis, Sensory-Directed Flavor Analysis offers flavor scientists an essential reference to deepen their understanding of the function of chemicals on the perception of taste.