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 | STATISTICAL METHODS IN FOOD AND CONSUMER RESEARCH
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To order this title, and for more information, click here
Second Edition
By
Maximo Gacula, Jr., Gacula Associates Consulting, Scottsdale, AZ, USA
Jagbir Singh, Temple University, Philadelphia, PA, USA
Jian Bi, Sensometrics Research and Service, Richmond, VA, USA
Stan Altan, J&J Pharmaceutical R&D, Rantan, NJ, USA
Included in series
Food Science and Technology,
Description
Statistical Methods in Food and Consumer Research 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 receent 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.
Audience
Students in sensory evaluation courses in both biological and agricultural departments can use this book as a text for their applied statistics
requirements. Expanding industrial application of statistics to sensory science, foods, beverages and other related areas make this
update ideal for professional reference use as well.
Contents
1 INTRODUCTION
1.1 A Brief Review of Tools for Statistical Interference
1.2 Principles of Experimental Design
1.3 The Role of the Statistician
in Research
Exercises
2 STATISTICAL SENSORY TESTING
2.1 Psychophysical Aspects of Sensory Data
2.2 Scales of Measurement
2.3 Scale
Structures
2.4 Construction of a Scale
2.5 Distribution of Sensory Data
2.6 Selection of Panel Members
Exercises
3 THE ANALYSIS OF
VARIANCE AND MULTIPLE COMPARISON TESTS
3.1 Analysis of Variance
3.2 Multiple-Comparison Tests
3.3 Sample Size Estimation
Exercises
4
EXPERIMENTAL DESIGN
4.1 Simple Comparative Experiments
4.2 Completly Randomized Designs
4.3 Randomized Complete Block Designs
4.4 Latin
Square Designs
4.5 Cross-Over Designs
4.6 Split Plot Designs
Exercises
5 INCOMPLETE BLOCK EXPERIMENTAL DESIGNS
5.1 Balanced Incomplete
Block Designs
5.2 Balanced Incomplete Block Designs Augmented with a Control
5.3 Doubly Balanced Incomplete Block Designs
5.4 Composite
Complete-Incomplete Block Designs
Exercises
6 FACTORAL EXPERIMENTS
6.1 The 2n Factorial Experiments
6.2 The 3n Factorial Experiments
6.3 The p x q and p x q x k Factorial Experiments
6.4 Simple Confounding and Fractional Factoral Experiments
Exercises
7 RESPONSE SURFACE
DESIGNS AND ANALYSIS
7.1 General Concepts
7.2 Fitting of Response Surfaces and Some Design Considerations
7.3 Illustrations of Fittings
of First- and Second-Order Models
7.4 Composite Designs
7.5 Rotatable Designs
7.6 A Response Surface Analysis Approach for Sensory Data
Exercises
8 SHELF LIFE TESTING EXPERIMENTS
8.1 Hazard Function
8.2 Shelf Life Models
8.3 Regression Analysis
Exercises
9 NONPARAMETRIC
STATISTICAL METHODS
9.1 Some Methods for Binary Data
9.2 Some Methods Based on Ranks
9.3 Some Methods for Categorical Data
9.4 Multidimensional
Contingency Tables
Exercises
10 SENSORY DIFFERENCE AND SIMILARITY TESTS 10.1 Sensory Difference Tests
10.2 Sensory Similarity (Equivalence)
Tests
10.3 Replicated Difference and Similarity Tests
Exercises
11 THE METHOD OF PAIRED COMPARISONS IN SENSORY TESTS AND THURSTONIAN
SCALING
11.1 Paired Comparison Designs
11.2 Paired Comparison Models
11.3 Thurstonian Discriminal Difference d'
11.4 Area Under ROC
Curve and R-Index
Exercises
12 DESCRIPTIVE ANALYSIS AND PERCEPTUAL MAPPING
12.1 Descriptive Analysis
12.2 Consumer Tests
12.3 Hedonic
and Intensity Rating Scales
12.4 Perceptual Mapping
12.5 Perference Mapping
Exercises
13 SENSORY EVALUATION IN COSMETIC STUDIES
13.1
Experimental Designs
13.2 Regression Analysis
Exercises
| Bibliographic details |
Hardbound, 888 pages, publication date: NOV-2008
ISBN-13: 978-0-12-373716-8
ISBN-10: 0-12-373716-8
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
GBP 78.99 EUR 92.95 USD 129.95
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Last update: 25 Nov 2009
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