A multi-product approach for detecting subjects’ and objects’ covariates in consumer preferences
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[1] S. A. bano C. D. nn W. I. i Wold,et al. Pattern recognition: finding and using regularities in multivariate data Food research, how to relate sets of measurements or observations to each other , 1983 .
[2] A. Agresti. Analysis of Ordinal Categorical Data , 1985 .
[3] A. Agresti,et al. Analysis of Ordinal Categorical Data. , 1985 .
[4] M. Hallin,et al. Parametric and Nonparametric Approaches , 1996 .
[5] E. Vigneau,et al. Clustering of Variables Around Latent Components , 2003 .
[6] Domenico Piccolo,et al. On the Moments of a Mixture of Uniform and Shifted Binomial random variables , 2003 .
[7] Harald Martens,et al. Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR , 2005, Comput. Stat. Data Anal..
[8] Dave Plaehn,et al. An L-PLS preference cluster analysis on French consumer hedonics to fresh tomatoes , 2006 .
[9] Vincenzo Esposito Vinzi,et al. Two-step PLS regression for L-structured data: an application in the cosmetic industry , 2007, Stat. Methods Appl..
[10] Domenico Piccolo,et al. A new approach for modelling consumers’ preferences , 2008 .
[11] Isabella Endrizzi,et al. Clustering of variables around latent components: an application in consumer science , 2008 .
[12] Maria Iannario,et al. A program in R for CUB models inference , 2009 .
[13] F. Gasperi,et al. A consumer study of fresh juices containing berry fruits , 2009 .
[14] Flavia Gasperi,et al. Two-step procedure for classifying consumers in a L-structured data context , 2010 .
[15] Maria Iannario,et al. On the identifiability of a mixture model for ordinal data , 2010 .
[16] Maria Iannario,et al. A New Statistical Model for the Analysis of Customer Satisfaction , 2010 .
[17] Teresa Del Giudice,et al. Valuing Consumer Preferences with the CUB Model: A Case Study of Fairtrade Coffee , 2010 .
[18] Tormod Næs,et al. Statistics for Sensory and Consumer Science , 2010 .
[19] El Mostafa Qannari,et al. Finding and explaining clusters of consumers using the CLV approach , 2011 .
[20] Maria Iannario,et al. CUB Models: Statistical Methods and Empirical Evidence , 2011 .
[21] Maria Iannario,et al. Hierarchical CUB Models for Ordinal Variables , 2012 .
[22] Maria Iannario. Modelling shelter choices in a class of mixture models for ordinal responses , 2012, Stat. Methods Appl..
[23] Ron S. Kenett,et al. Modern Analysis of Customer Surveys: with Applications using R , 2012 .
[24] Maria Iannario. Preliminary estimators for a mixture model of ordinal data , 2012, Adv. Data Anal. Classif..
[25] Paola Zuccolotto,et al. Sensory analysis in the food industry as a tool for marketing decisions , 2012, Adv. Data Anal. Classif..
[26] S. Popek,et al. Structural model of fruit juice quality determining factors in product design and development , 2013 .
[27] L. Cinquanta,et al. The importance of wine attributes for purchase decisions: A study of Italian consumers’ perception , 2013 .
[28] Tormod Næs,et al. Interpretation, validation and segmentation of preference mapping models , 2014 .
[29] Maria Iannario,et al. Modelling Uncertainty and Overdispersion in Ordinal Data , 2014 .