Temporal Drivers of Liking Based on Functional Data Analysis and Non-Additive Models for Multi-Attribute Time-Intensity Data of Fruit Chews

Conventional drivers of liking analysis was extended with a time dimension into temporal drivers of liking (TDOL) based on functional data analysis methodology and non-additive models for multiple-attribute time-intensity (MATI) data. The non-additive models, which consider both direct effects and i...

Descripción completa

Detalles Bibliográficos
Autores principales: Kuesten, Carla, Bi, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025064/
https://www.ncbi.nlm.nih.gov/pubmed/29865288
http://dx.doi.org/10.3390/foods7060084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025064/
https://www.ncbi.nlm.nih.gov/pubmed/29865288
http://dx.doi.org/10.3390/foods7060084

Ejemplares similares