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Multivariate and Probabilistic Analyses of Sensory Science Problems - Jean-François Meullenet#Rui Xiong#Christopher J. Findlay
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Jean-François Meullenet#Rui Xiong#Christopher J. Findlay:

Multivariate and Probabilistic Analyses of Sensory Science Problems - new book

2008, ISBN: 9780470276310

Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses… More...

Nr. 27829856. Shipping costs:, Sofort per Download lieferbar, DE. (EUR 0.00)
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Multivariate and Probabilistic Analyses of Sensory Science Problems - Jean-François Meullenet#Rui Xiong#Christopher J. Findlay
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Jean-François Meullenet#Rui Xiong#Christopher J. Findlay:

Multivariate and Probabilistic Analyses of Sensory Science Problems - new book

2008, ISBN: 9780470276310

Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses… More...

Nr. 27829856. Shipping costs:Lieferzeiten außerhalb der Schweiz 3 bis 21 Werktage, , Sofort per Download lieferbar, zzgl. Versandkosten. (EUR 17.27)
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Multivariate and Probabilistic Analyses of Sensory Science Problems - Jacqueline H. Beckley
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Jacqueline H. Beckley:
Multivariate and Probabilistic Analyses of Sensory Science Problems - new book

ISBN: 9780470276310

Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses… More...

No. 9780470276310. Shipping costs:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., plus shipping costs
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Multivariate and Probabilistic Analyses of Sensory Science Problems - Loi Lei Lai
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Loi Lei Lai:
Multivariate and Probabilistic Analyses of Sensory Science Problems - new book

ISBN: 9780470276310

Sensory scientists are often faced with making business decisions based on the results of complex sensory tests involving a multitude of variables. Multivariate and Probabilistic Analyses… More...

No. 9780470276310. Shipping costs:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., plus shipping costs
5
Multivariate and Probabilistic Analyses of Sensory Science Problems - Jean-François Meullenet/ Rui Xiong/ Christopher J. Findlay
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Jean-François Meullenet/ Rui Xiong/ Christopher J. Findlay:
Multivariate and Probabilistic Analyses of Sensory Science Problems - new book

ISBN: 9780470276310

Multivariate and Probabilistic Analyses of Sensory Science Problems: ab 219.99 € eBooks > Fachthemen & Wissenschaft > Wissenschaften allgemein John Wiley & Sons, John Wiley & Sons

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Details of the book - Multivariate and Probabilistic Analyses of Sensory Science Problems


EAN (ISBN-13): 9780470276310
ISBN (ISBN-10): 0470276312
Publishing year: 2008
Publisher: John Wiley & Sons

Book in our database since 2009-05-03T05:42:12-04:00 (New York)
Detail page last modified on 2023-05-10T13:32:20-04:00 (New York)
ISBN/EAN: 9780470276310

ISBN - alternate spelling:
0-470-27631-2, 978-0-470-27631-0
Alternate spelling and related search-keywords:
Book author: jean francois six, xiong


Information from Publisher

Author: Jean-François Meullenet; Rui Xiong; Christopher J. Findlay
Title: Institute of Food Technologists Series; Multivariate and Probabilistic Analyses of Sensory Science Problems
Publisher: Wiley-Blackwell; John Wiley & Sons
256 Pages
Publishing year: 2008-02-29
Language: English
236,99 € (DE)
Not available (reason unspecified)

EA; E107; E-Book; Nonbooks, PBS / Biologie/Landwirtschaft, Gartenbau, Forstwirtschaft, Fischerei, Ernährung; Lebensmittel- und Getränketechnologie; Food Science & Technology; Lebensmittelforschung u. -technologie; Lebensmittelsensorik; Sensory Science; Allg. Lebensmittelforschung u. -technologie; Lebensmittelsensorik; BB

Introduction, 3 Chapter 1. A Description of Sample Data Sets Used in Further Chapters, 9 1.1. A Description of Example Data Sets, 9 References, 25 Chapter 2. Panelist and Panel Performance: A Multivariate Experience, 27 2.1. The Multivariate Nature of Sensory Evaluation, 27 2.2. Univariate Approaches to Panelist Assessment, 29 2.3. Multivariate Techniques for Panelist Performance, 32 2.4. Panel Evaluation through Multivariate Techniques, 43 2.5. Conclusions, 46 References, 47 Chapter 3. A Nontechnical Description of Preference Mapping, 49 3.1. Introduction, 49 3.2. Internal Preference Mapping, 49 3.3. External Preference Mapping (PREFMAP), 58 3.4. Conclusions, 66 References, 67 Chapter 4. Deterministic Extensions to Preference Mapping Techniques, 69 4.1. Introduction, 69 4.2. Application and Models Available, 69 4.3. Conclusions, 89 References, 94 Chapter 5. Multidimensional Scaling and Unfolding and the Application of Probabilistic Unfolding to Model Preference Data, 95 5.1. Introduction, 95 5.2. Multidimensional Scaling (MDS) and Unfolding, 96 5.3. Probabilistic Approach to Unfolding and Identifying the Drivers of Liking, 98 5.4. Examples, 100 References, 109 Chapter 6. Consumer Segmentation Techniques, 111 6.1. Introduction, 111 6.2. Methods Available, 111 6.3. Segmentation Methods Using Hierarchical Cluster Analysis, 113 References, 126 Chapter 7. Ordinal Logistic Regression Models in Consumer Research, 129 7.1. Introduction, 129 7.2. Limitations of Ordinary Least Square Regression, 129 7.3. Odds, Odds Ratio, and Logit, 130 7.4. Binary Logistic Regression, 133 7.5. Ordinal Logistic Regression Models, 144 7.6. Proportional Odds Model (POM), 144 7.7. Conclusions, 160 References, 160 Chapter 8. Risk Assessment in Sensory and Consumer Science, 163 8.1. Introduction, 163 8.2. Concepts of Quantitative Risk Assessment, 164 8.3. A Case Study: Cheese Sticks Appetizers, 166 8.4. Conclusions, 176 References, 176 Chapter 9. Application of MARS to Preference Mapping, 179 9.1. Introduction, 179 9.2. MARS Basics, 179 9.3. Setting Control Parameters and Refining Models, 187 9.4. Example of Application of MARS, 188 9.5. A Comparison with PLS Regression, 201 References, 205 Chapter 10. Analysis of Just About Right Data, 207 10.1. Introduction, 207 10.2. Basics of Penalty Analysis, 208 10.3. Boot Strapping Penalty Analysis, 210 10.4. Use of MARS to Model JAR Data, 212 10.5. A Proportional Odds/Hazards Approach to Diagnostic Data Analysis, 215 10.6 Use of Dummy Variables to Model JAR Data, 220 References, 233 Index, 237

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