References of "Palm, Rodolphe"
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See detailL'analyse des correspondances multiples : principes et application
Palm, Rodolphe ULg

in Notes de Statistique et d'Informatique (2007), (2), 1-28

Cette note décrit les principes de l'analyse des correspondances multiples et précise les relations qui existent entre différentes analyses d'un même enemble de données. Un exemple, traité par le logiciel ... [more ▼]

Cette note décrit les principes de l'analyse des correspondances multiples et précise les relations qui existent entre différentes analyses d'un même enemble de données. Un exemple, traité par le logiciel SAS, illustre la méthode. [less ▲]

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See detailMethodological contribution to control heteroscedasticity in discriminant analysis studies.
Glele Kakaï, R.; Palm, Rodolphe ULg

in Global Journal of Pure and Applied Mathematics (2006)

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See detailDétournement d'un outil formatif en 1ère année universitaire
Minet, Vincent; Palm, Rodolphe ULg

Conference (2005, October)

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See detailValidation of methods for measurements of land parcel areas - Final report
Hejmanowska, Beata; Palm, Rodolphe ULg; Oszczak, Stanislaw et al

Report (2005)

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See detailL'analyse discriminante décisionnelle : principes et applications sur ordinateur
Glele Kakaï, R.; Palm, Rodolphe ULg; Kokodé, G. G.

Book published by Institut National des Recherches du Bénin (2005)

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See detailL’Observatoire de la Consommation alimentaire en Région wallonne : pourquoi, comment ?
Claustriaux, Jean-Jacques ULg; Cordier, Ludwig; Duquesne, Brigitte ULg et al

in Biotechnologie, Agronomie, Société et Environnement = Biotechnology, Agronomy, Society and Environment [=BASE] (2005), 9(3), 207-212

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See detailConséquences de la sélection de variables sur l'interprétation des résultats en régression linéaire multiple
Akossou, A. Y. J.; Palm, Rodolphe ULg

in Biotechnologie, Agronomie, Société et Environnement = Biotechnology, Agronomy, Society and Environment [=BASE] (2005), 9(1), 11-18

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See detailA stepwise selection technique of the most discriminant parameters of two groups applied to isoberlinia stands in Benin.
Glele Kakaï, R.; Sinsin, Brice; Palm, Rodolphe ULg

in Global Journal of Mathematical Sciences (2005), 4(1 & 2), 107-111

We describe for two groups a stepwise selection method of the most discriminant parameters, based on the logistic rule and the e632 error rate estimator in discriminant analysis. This stepwise ... [more ▼]

We describe for two groups a stepwise selection method of the most discriminant parameters, based on the logistic rule and the e632 error rate estimator in discriminant analysis. This stepwise discriminant method can be used as an alternative method in non-normality or heteroscedasticity situations, where the stepwise linear discriminant analysis is not suitable. The implementation of this stepwise method on Isoberlinia woodland and tree savannah identifies the most discriminant parameters as the global dominant height, the dominant height of Isoberlinia trees and the number of species per hectare. For these parameters, the value of the error rate associated with the logistic rule and estimated by th e632 estimators is 24,6 %. [less ▲]

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See detailMinimal error rate of linear, quadratic and logistic rules in discriminant analysis
Glele Kakaï, R.; Palm, Rodolphe ULg

in Global Journal of Mathematical Sciences (2005), 4(1 & 2), 89-93

A simulation study has been used to evaluate the minimal error rate of three affectation rules and to compare five estimators of this error rate for two groups of observations, in 480 situations ... [more ▼]

A simulation study has been used to evaluate the minimal error rate of three affectation rules and to compare five estimators of this error rate for two groups of observations, in 480 situations characterized by the distribution and to the overlap of the populations, the number of variables, the sample size and the heteroscedasticity degree of the population under study. The results of this study suggest that the quadratic rule might be the best for heteroscedastic normal models. The linear rule showed better performance for homoscedastic normal or moderate non-normal models. The logistic rule is the best for severe non-normal models except when homoscedasticity occurs. As far as the comparison of five estimators is concerned, the results of the study indicate that eDS and eB are the best estimators of the minimal error rate for the linear rule, e5 for the quadratic rule and eD for the logistic rule. [less ▲]

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See detailObservatory of food consumption in Walloon Region (Belgium).
Bievelet, C.; Palm, Rodolphe ULg; Claustriaux, Jean-Jacques ULg

Scientific conference (2005)

This paper describes tasks entrusted to the Gembloux Agricultural University in the context of the Observatory of Food Consumption. At first, the document presents the establishment and the targets of ... [more ▼]

This paper describes tasks entrusted to the Gembloux Agricultural University in the context of the Observatory of Food Consumption. At first, the document presents the establishment and the targets of this organism. The database available, a consumption panel, is then described. Finally, some results, from studies carried out on the "structure of consumption", illustrate the use of the database. [less ▲]

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See detailL'Observatoire de la Consommation Alimentaire en Région Wallonne : pourquoi, comment ?
Claustriaux, Jean-Jacques ULg; Cordier, L.; Duquesne, B. et al

Conference (2004, May 12)

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See detailPerformance relative des règles linéaire, quadratique et logistique en analyse discriminante
Glele Kakaï, R.; Palm, Rodolphe ULg

in XXXVIèmes Journées de Statistique (2004, May)

Monte Carlo study is achieved to compare linear, quadratic and logistic classification rules for two groups, in 480 situations related to the type of distribution, the overlap of the populations, the ... [more ▼]

Monte Carlo study is achieved to compare linear, quadratic and logistic classification rules for two groups, in 480 situations related to the type of distribution, the overlap of the populations, the number of variables, the sample size and the heteroscedasticity degree of the model, which is measured by a parameter gamma defined in the study. The results of this study show that the quadratic rule is the best only for severe heteroscedastic normal or moderate non-normal models with high overlap. The linear rule is the best for homoscedastic normal or moderate non-normal models with low overlap. The logistic rule is the best for severe non-normal models except when homoscedasticity occurs. In the order situations linear and logistic rules have almost the same performance. By considering the parameters computed on the data samples, the linear rule gives the best performance for high values of r whereas logistic rule performs is best for low or moderate values of the same parameter. [less ▲]

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See detailHS-SPME - GCMS characterization of volatile secondary products from 37 Trichoderma strains
Delvigne, Frank ULg; Verscheure, M.; Palm, Rodolphe ULg et al

Poster (2004, February)

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See detailL'Observatoire de la consommation alimentaire
Claustriaux, Jean-Jacques ULg; Cordier, L.; Duquesne, B. et al

in Vers une politique de qualité, à quel prix ? (2003, October 08)

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See detailMacros Minitab pour l'estimation de paramètres à partir de résultats d'enquêtes
Palm, Rodolphe ULg; Clissen, Valérie

Software (2003)

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See detailInterprétation géométrique de la régression
Iemma, A. F.; Palm, Rodolphe ULg

in Notes de Statistique et d'Informatique (2003), (2), 1-28

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See detailLe positionnement multidimensionnel : principes et applications
Palm, Rodolphe ULg

in Notes de Statistique et d'Informatique (2003), (1), 1-32

This note describes some multidimensional scaling methods for two-way, one-mode tables and for three-way, two-mode tables. The methods are illustrated by an example processed by PROC MDS of SAS software.

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See detailL'Observatoire de la consommation alimentaire
Claustriaux, Jean-Jacques ULg; Cordier, L.; Duquesne, Brigitte ULg et al

in Vers une politique de qualité, à quel prix ? (2003)

Description de l'utilisation d'une base de données relative aux achats de produits alimentaires effectués par des ménages.

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