Sensory analysis in the food industry as a tool for marketing decisions
type: Item
instance of: scholarly article
title: Sensory analysis in the food industry as a tool for marketing decisions
zbMATH Open document ID: 1257.62124
author: M. Iannario
author: Marica Manisera
author: Domenico Piccolo
author: Paola Zuccolotto
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2013-01-02T00:00:00Z
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 90B60
zbMATH DE Number: 6121264
zbMATH Keywords: ordinal data
zbMATH Keywords: CUB models
zbMATH Keywords: Italian coffee
describes a project that uses: CUB
MaRDI profile type: Publication
full work available at URL: s11634-012-0120-4
OpenAlex ID: W2057947905
cites work: Q3558100
cites work: Bagging predictors
cites work: Random forests
cites work: A mixture model for preferences data analysis
cites work: On the identifiability of a mixture model for ordinal data
cites work: Modelling shelter choices in a class of mixture models for ordinal responses
cites work: Preliminary estimators for a mixture model of ordinal data
cites work: A theorem on CUB models for rank data
cites work: Q3942245
cites work: Q3998435
cites work: The EM Algorithm and Extensions, 2E
cites work: Finite mixture models
cites work: Unbiased split selection for classification trees based on the Gini index
DOI: 10.1007/S11634-012-0120-4
description: scientific article; zbMATH DE number 6121264