The analysis of dependence for three ways data tables with ordinal variables in food industry evaluation

Simonetti Biagio; Luigi D'Ambra; Eric J. Beh

The analysis of dependence for three ways data tables with ordinal variables in food industry evaluation

Simonetti Biagio, Luigi D'Ambra, Eric J. Beh

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

![CDATA[In the sensory characteristics evaluation framework, of particular interest is the study of dependance and the role of ordinal categorical variables. In some recent articles (Beh et al., 2005; Simonetti, 2003; D'Ambra et al.,2005) great emphasis has been given to the partition of the Goodman-Kruskal tau using orthogonal polynomial (Emerson, 1968). These articles describe the study of non-symmetrical relationships for three ways contingency tables. In this paper, we introduce a partition of an index for the measure of the dependency (Marcotorchino, 1985) for three ways contingency tables. The application of this partition is made for the sensory appraisal of an Italian made mozzarella cheese.]]

Original language	English
Title of host publication	Actes des 9èmes Journées Agro-Industrie et Méthodes Statistiques
Publisher	Montpellier Université
Number of pages	9
Publication status	Published - 2006
Event	Journées Européennes Agro-Industrie et Méthodes Statistiques - Duration: 1 Jan 2006 → …

Conference

Conference	Journées Européennes Agro-Industrie et Méthodes Statistiques
Period	1/01/06 → …

Keywords

contingency tables
orthogonal polynomials
correspondence analysis
food industry and trade
consumer satisfaction

Cite this

@inproceedings{281b1986ae1749a58e4cb8f1eef52de8,

title = "The analysis of dependence for three ways data tables with ordinal variables in food industry evaluation",

abstract = "![CDATA[In the sensory characteristics evaluation framework, of particular interest is the study of dependance and the role of ordinal categorical variables. In some recent articles (Beh et al., 2005; Simonetti, 2003; D'Ambra et al.,2005) great emphasis has been given to the partition of the Goodman-Kruskal tau using orthogonal polynomial (Emerson, 1968). These articles describe the study of non-symmetrical relationships for three ways contingency tables. In this paper, we introduce a partition of an index for the measure of the dependency (Marcotorchino, 1985) for three ways contingency tables. The application of this partition is made for the sensory appraisal of an Italian made mozzarella cheese.]]",

keywords = "contingency tables, orthogonal polynomials, correspondence analysis, food industry and trade, consumer satisfaction",

author = "Simonetti Biagio and Luigi D'Ambra and Beh, {Eric J.}",

year = "2006",

language = "English",

booktitle = "Actes des 9{\`e}mes Journ{\'e}es Agro-Industrie et M{\'e}thodes Statistiques",

publisher = "Montpellier Universit{\'e}",

note = "Journ{\'e}es Europ{\'e}ennes Agro-Industrie et M{\'e}thodes Statistiques ; Conference date: 01-01-2006",

}

TY - GEN

T1 - The analysis of dependence for three ways data tables with ordinal variables in food industry evaluation

AU - Biagio, Simonetti

AU - D'Ambra, Luigi

AU - Beh, Eric J.

PY - 2006

Y1 - 2006

N2 - ![CDATA[In the sensory characteristics evaluation framework, of particular interest is the study of dependance and the role of ordinal categorical variables. In some recent articles (Beh et al., 2005; Simonetti, 2003; D'Ambra et al.,2005) great emphasis has been given to the partition of the Goodman-Kruskal tau using orthogonal polynomial (Emerson, 1968). These articles describe the study of non-symmetrical relationships for three ways contingency tables. In this paper, we introduce a partition of an index for the measure of the dependency (Marcotorchino, 1985) for three ways contingency tables. The application of this partition is made for the sensory appraisal of an Italian made mozzarella cheese.]]

AB - ![CDATA[In the sensory characteristics evaluation framework, of particular interest is the study of dependance and the role of ordinal categorical variables. In some recent articles (Beh et al., 2005; Simonetti, 2003; D'Ambra et al.,2005) great emphasis has been given to the partition of the Goodman-Kruskal tau using orthogonal polynomial (Emerson, 1968). These articles describe the study of non-symmetrical relationships for three ways contingency tables. In this paper, we introduce a partition of an index for the measure of the dependency (Marcotorchino, 1985) for three ways contingency tables. The application of this partition is made for the sensory appraisal of an Italian made mozzarella cheese.]]

KW - contingency tables

KW - orthogonal polynomials

KW - correspondence analysis

KW - food industry and trade

KW - consumer satisfaction

UR - http://handle.uws.edu.au:8081/1959.7/36254

M3 - Conference Paper

BT - Actes des 9èmes Journées Agro-Industrie et Méthodes Statistiques

PB - Montpellier Université

T2 - Journées Européennes Agro-Industrie et Méthodes Statistiques

Y2 - 1 January 2006

ER -

The analysis of dependence for three ways data tables with ordinal variables in food industry evaluation

Abstract

Conference

Keywords

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