132 results on '"Kuesten, Carla"'
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2. Functional Foods and Protein Supplementation
3. Using functional data analysis (FDA) for time-intensity (T-I) evaluation of perceptual efficacy, exemplified by a supplement tablet longitudinal study
4. Functional Foods and Dietary Supplements
5. Functional Foods and Protein Supplementation
6. Chapter 4 | Methods
7. Thurstonian models for three variants (specified, unspecified, and unspecified with forgiveness) of the Two‐Out‐of‐Five method
8. Time‐intensity data analysis in terms of R‐index measures transformed from menopause rating scale data collected in a longitudinal menopause tablet perceptual efficacy study.
9. Functional Foods and Protein Supplementation
10. Functional Foods and Dietary Supplements
11. Healthcare supplements in context
12. Contributors
13. Type I error, testing power, and predicting precision based on the GLM and LM models for CATA data--Further discussion with M. Meyners and A. Hasted
14. Sparse hierarchical clustering based on Menopause Rating Scale severity of symptoms collected from perimenopausal and postmenopausal US women in a menopause tablet perceptual efficacy study
15. Comprehensive model for characterizing skin translucency by expert grading, panel evaluation and image analysis in a Chinese population
16. Japanese consumer segmentation based on general self-efficacy psychographics data collected in a phytonutrient supplement study: Influence on health behaviors, well-being, product involvement and liking
17. Time-Intensity Using Discrete Time Points
18. Commentary on Meyners and Hasted (2021): On the applicability of ANOVA models for CATA data, Food Quality and Preference, 92
19. The paired A‐Not A with AB and BA pairs
20. The Use of Demographics and Psychographics to Study Product Effects with Nutrient Supplements: Exploratory Multi-Country Data
21. TURF analysis for CATA data using R package ‘turfR’
22. Application of a panel performance reliability versus product effect size (PR-ES) framework: A protein powder case study
23. Human Skin Gloss Perception Based on Texture Statistics
24. The paired A‐Not A with AB and BA pairs.
25. 17 - Healthcare supplements in context
26. A more powerful non‐attribute‐specified sensory discrimination method: The paired unspecified tetrad with different order ( AB and BA ) pairs
27. Review and development of Thurstonian models for the triangle and duo‐trio methods and paired versions of the methods
28. Paired versions of the triangle and duo-trio methods with AB and BA pairs
29. Made in China: What Western Managers Can Learn from Trailblazing Chinese Entrepreneurs
30. The four-interval, two-alternative forced-choice (4I2AFC): A powerful sensory discrimination method to detect small, directional changes particularly suitable for visual or manual evaluations
31. Design for Lean Six Sigma: A Holistic Approach to Design and Innovation by Rajesh Jugulum and Philip Samuel
32. The Handbook of High-Performance Virtual Teams: A Toolkit for Collaborating across Boundaries Edited by Jill Nemiro, Michael Beyerlein, Lori Bradley, and Susan Beyerlein
33. Going Lean: How the Best Companies Apply Lean Manufacturing Principles to Shatter Uncertainty, Drive Innovation, and Maximize Profits by Stephen A. Ruffa
34. The Leader's Guide to Lateral Thinking Skills: Unlocking the Creativity and Innovation in You and Your Team, 2nd ed. by Paul Sloane
35. Temporal Drivers of Liking Based on Functional Data Analysis and Non-Additive Models for Multi-Attribute Time-Intensity Data of Fruit Chews
36. Assessing gloss perception of human facial skin across subject
37. Paired versions of various sensory discrimination forced-choice methods and the same-different area theorem
38. New Food Product Development: From Concept to Marketplace
39. Analyzing consumers’ Profile of Mood States (POMS) data using the proportional odds model (POM) for clustered or repeated observations and R package ‘repolr’
40. Determining the Influence of Image-based Cues on Human Skin Gloss Perception
41. Case studies of industrial applications of the “M+N” classification method with larger M and N for visual and manual inspections
42. A Simplified Form of the Psychometric Function for the m -Alternative Forced Choice (m AFC) Method
43. Propensity score analysis (PSA) for sensory causal inference – Global consumer psychographics and applications for phytonutrient supplements
44. Sensory Measurements for the Method of “M+N” with Larger M and N
45. Revisiting Fisher’s ‘Lady Tasting Tea’ from a perspective of sensory discrimination testing
46. Risk Assessment of Negative Sensory Effects in Product Development Using the Benchmark Dose (BMD) Methodology for Continuous Data
47. Estimating and Testing Parameters of the Thurstonian Model for Torgerson's Method of Triads
48. A global study using PANAS (PA and NA) scales to measure consumer emotions associated with aromas of phytonutrient supplements
49. Exploring taffy product consumption experiences using a multi-attribute time–intensity (MATI) method
50. Using Functional Data Analysis (FDA) Methodology and the R Package “fda” for Sensory Time‐Intensity Evaluation
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