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Multivariate Data Analysis in Sensory and Consumer Science

Flipsen. This book discusses the use of Multivariate Data Analysis to solve problems in sensory and consumer research. More;

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Novel Techniques in Sensory Characterization and Consumer Profiling

Sensory characterization is one of the most powerful, sophisticated, and extensively applied tools in sensory science. Descriptive analysis;

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Novel Techniques in Sensory Characterization and Consumer Profiling

Sensory characterization is one of the most powerful, sophisticated, and extensively applied tools in sensory science. Descriptive analysis;

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Sensory Evaluation Practices

Sensory Evaluation Practices, Fifth Edition, presents the latest developments and methods of sensory evaluation, including those on the;

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Discrimination Testing in Sensory Science

performance and analysis of discrimination testing in sensory and consumer science for both food and non-food products Includes the latest;

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Individual Differences in Sensory and Consumer Science

Individual Differences in Sensory and Consumer Science: Experimentation, Analysis and Interpretation presents easily readable, state;

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Quantitative Sensory Analysis

wider understanding of the mechanisms involved in sensory perception and consumer behaviour. Quantitative Sensory Analysis is an in-depth and;

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Advanced Studies in Behaviormetrics and Data Science

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and;

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Advanced Studies in Behaviormetrics and Data Science

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and;

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Viewpoints and Controversies in Sensory Science and Consumer Product Testing

The authors skillfully present different approaches to the same problem and even different ways to look at the same type of data. If you;

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Introduction to Multivariate Analysis

Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling;

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Introduction to Multivariate Analysis

Select the Optimal Model for Interpreting Multivariate Data Introduction to Multivariate Analysis: Linear and Nonlinear Modeling shows;

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Magnetic Resonance in Food Science

interpretation and quantification of magnetic resonance data of complex food systems increasingly requires the application of multivariate data;

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A Handbook for Sensory and Consumer-Driven New Product Development

application of sensory analysis, instrumental methods and multivariate data analysis can improve new product development, including packaging;

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Statistical Methods in Food and Consumer Research

techniques used in sensory testing of foods, pharmaceuticals, cosmetics, and other consumer products. This new edition includes the most recent;

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Introductory Multivariate Statistics for the Environmental Science

diversity, linear regression, ordination, principal components analysis, correspondence analysis, classification, and various other multivariate;

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Advanced Studies in Classification and Data Science

of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for high-dimensional data;

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Sensory Evaluation of Sound

overview of sensory evaluation methods and associated univariate and multivariate statistical analysis techniques. The final part of the book;

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Analysis of Multivariate Social Science Data

Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second;

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Salt, Fat and Sugar Reduction

nutritional optimized products are also discussed, as are other aspects of shelf life and physicochemical analysis, consumer awareness of the negative;

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Analysis of Multivariate Social Science Data, Second Edition

Drawing on the authors varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Multivariate Data Analysis

For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications;

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Chemometrics

, organization and reduction of chemical and sensory data. It explains chemical, sensory and multivariate analysis tools and their application. Pertinent;

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Contemporary Experimental Design, Multivariate Analysis and Data Mining

The collection and analysis of data play an important role in many fields of science and technology, such as computational biology;

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Statistics for Sensory and Consumer Science

handling data from both trained sensory panels and consumer studies of food. It presents the topic in two distinct sections: problem-orientated;

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