Sensory analysis in the food industry as a tool for marketing decisions

DOI10.1007/S11634-012-0120-4zbMath1257.62124OpenAlexW2057947905MaRDI QIDQ1928204

Domenico Piccolo, Marica Manisera, Paola Zuccolotto, Maria Iannario

Publication date: 2 January 2013

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-012-0120-4

zbMATH Keywords

ordinal dataCUB modelsItalian coffee

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Marketing, advertising (90B60)

Related Items (5)

Flexible uncertainty in mixture models for ordinal responses ⋮ Modeling rating data with nonlinear CUB models ⋮ Treatment of `don't know' responses in a mixture model for rating data ⋮ Identifiability of a model for discrete frequency distributions with a multidimensional parameter space ⋮ Design-Based Inference in a Mixture Model for Ordinal Variables for a Two Stage Stratified Design

Uses Software

• CUB

Cites Work

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• Bagging predictors
• Modelling shelter choices in a class of mixture models for ordinal responses
• On the identifiability of a mixture model for ordinal data
• Preliminary estimators for a mixture model of ordinal data
• A mixture model for preferences data analysis
• Unbiased split selection for classification trees based on the Gini index
• A theorem on CUB models for rank data
• The EM Algorithm and Extensions, 2E
• Finite mixture models
• Random forests

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