Table of Contents
Latent variable models for sensory profiling data
Goal
Basic assumptions
Ideal latent variable model
Ideal latent variable model
Deviations from ideal - 1 Latent saliency
Deviations from ideal - 1 Latent saliency
Deviations from ideal - 1 Latent saliency
Deviations from ideal - 2 Manifest saliency
Combining latent & manifest saliency
Deviations from ideal - 3 Different latent variables
Deviations from ideal - 3 Different latent variables
Deviations from ideal - 3 Different latent variables
Deviations from ideal - 3 Different latent variables
The overall model
The overall model Special cases
The algorithm
Selecting model
Application: Bread data
Conclusion |
Author: Rasmus Bro
Email: rb@kvl.dk |