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See detailIntroduction aux problèmes inverses
Charles, Catherine ULg

in Notes de Statistique et d'Informatique (2014)

cette note technique est une inititation aux problèmes inverses. Son objectif est d'expliquer au lecteur ses principes généraux, de montrer son large panel d'applications ainsi que de présenter ses ... [more ▼]

cette note technique est une inititation aux problèmes inverses. Son objectif est d'expliquer au lecteur ses principes généraux, de montrer son large panel d'applications ainsi que de présenter ses méthodes de résolution les plus courantes. [less ▲]

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See detailLa collecte de l'information. Pour qui ? Pourquoi ? Comment ?
Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (2012), (3), 7

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See detailLa représentation d'une matrice par biplot
Palm, Rodolphe ULg; Charles, Catherine ULg; Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (2012), (2), 1-22

Matrix factorization by means of singular value decomposition is examined and used to produce a graphical representation of a data matrix called biplot. The link between this biplot and the plots of the ... [more ▼]

Matrix factorization by means of singular value decomposition is examined and used to produce a graphical representation of a data matrix called biplot. The link between this biplot and the plots of the variables and of the individuals usually given in principal component analysis is discussed and applied to an example. [less ▲]

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See detailTables de contingence à trois dimensions : aspects théoriques, applications et analogie avec l'analyse de la variance à trois critères de classification
Claustriaux, Jean-Jacques ULg; Palm, Rodolphe ULg; Ferrandis Vallterra, Salvador ULg et al

in Notes de Statistique et d'Informatique (2012), (1), 19

For contingency table, concepts of independence are not so easy to understand in statistical practice. So, theoretical aspects of the log-linear model are described and applied to a three levels example ... [more ▼]

For contingency table, concepts of independence are not so easy to understand in statistical practice. So, theoretical aspects of the log-linear model are described and applied to a three levels example; an analogy with analysis of variance is also established. [less ▲]

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See detailLa régression logistique avec Minitab
Palm, Rodolphe ULg; Brostaux, Yves ULg

in Notes de Statistique et d'Informatique (2011), (4), 15

This note describes the Minitab commands BLOGISTIC, NLOGISTIC and OLOGISTIC and proposes a macro, which can be downloaded, for coding the data in order to fit the continuation-ratio logits model. The ... [more ▼]

This note describes the Minitab commands BLOGISTIC, NLOGISTIC and OLOGISTIC and proposes a macro, which can be downloaded, for coding the data in order to fit the continuation-ratio logits model. The commands are illustrated by an example. [less ▲]

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See detailInférence statistique et critères de qualité de l'ajustement en régression logistique binaire
Palm, Rodolphe ULg; Brostaux, Yves ULg; Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (2011), (5), 32

The principles of statistical inference based on the maximum likelihood function are described and applied to binary logistic regression. Several goodness of fit statistics are also given. These topics ... [more ▼]

The principles of statistical inference based on the maximum likelihood function are described and applied to binary logistic regression. Several goodness of fit statistics are also given. These topics are illustrated by an example processed by Minitab and SAS softwares. [less ▲]

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See detailMacros Minitab pour le choix d'une transformation pour la normalisation de variables
Palm, Rodolphe ULg; Brostaux, Yves ULg; Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (2011), (3),

Macros are proposed to Minitab users for transforming data to normality. The following transformations are examined : log transformation, Box et Cox transformation with lambda equal to -2, -1, -0,5, 0,5 ... [more ▼]

Macros are proposed to Minitab users for transforming data to normality. The following transformations are examined : log transformation, Box et Cox transformation with lambda equal to -2, -1, -0,5, 0,5 and 2, Box et Cox transformation with maximum likelihood estimation of lambda and transformations using the Johnson system of distributions. Two examples are given. [less ▲]

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See detailEtude des séries chronologiques par les méthodes de décomposition
Palm, Rodolphe ULg; Brostaux, Yves ULg

in Notes de Statistique et d'Informatique (2009), (1), 1-17

This note briefly describes the main methods of analysing time series by a decomposition into a trend, a seasonal variation, and residuals. The methods are illustrated by an example analysed with Minitab ... [more ▼]

This note briefly describes the main methods of analysing time series by a decomposition into a trend, a seasonal variation, and residuals. The methods are illustrated by an example analysed with Minitab software. [less ▲]

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See detailDétermination de la répétabilité et de la reproductibilité d'une méthode de mesure normalisée selon la norme ISO 5725-2
Palm, Rodolphe ULg

in Notes de Statistique et d'Informatique (2008), (1), 1-22

This note describes the statistical aspects related to the norm ISO 5725-2 for the estimation of repeatability and reproducibility of a standard measurement method. The procedure is then applied t a real ... [more ▼]

This note describes the statistical aspects related to the norm ISO 5725-2 for the estimation of repeatability and reproducibility of a standard measurement method. The procedure is then applied t a real world example related to the measurement of land parcel areas by remote sensing. [less ▲]

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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 detailEtude des séries chronologiques par les méthodes de lissage
Palm, Rodolphe ULg

in Notes de Statistique et d'Informatique (2007), (1), 1-22

This note briefly describes forecasting procedures for time series based on smoothing techniques. The following procedures are examined : exponential smoothing for non-seasonal time series showing no ... [more ▼]

This note briefly describes forecasting procedures for time series based on smoothing techniques. The following procedures are examined : exponential smoothing for non-seasonal time series showing no trend, Holt procedure for non-seasonal time series with trend and Holt-Winters procedure for time series containing trend and seasonal variation. The methods are illustrated by an example processed with Minitab software. [less ▲]

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See detailLa régression logistique binaire
Duyme, F.; Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (2006), (4), 1-24

This note describes and illustrates the principles of binary logistic regression when predictors are continuous variables.

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See detailIntroduction au logiciel Minitab sous Windows
Carletti, Isabelle; Clissen, V.; Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (2006), (2), 1-23

Principes de base pour utiliser le logiciel Minitab.

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See detailUn regard sur les activités de l'unité de statistique et informatique de la Faculté Universitaire des Sciences agronomiques de Gembloux
Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (2006), (1), 1-9

Analyse de l'évolution de la gestion d'un service universitaire dont le domaine de compétence est la statistique appliquée.

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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 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 detailConditions d'application et transformations de variables en régression linéaire
Palm, Rodolphe ULg; Iemma, A. F.

in Notes de Statistique et d'Informatique (2002), (1), 1-34

This note first reviews methods used for checking the assumptions in linear regression (lack of fit, normality, homoscedasticity and independance of the residuals) and then describes variables ... [more ▼]

This note first reviews methods used for checking the assumptions in linear regression (lack of fit, normality, homoscedasticity and independance of the residuals) and then describes variables transformations as remedial action when the assumptions are not fulfilled. [less ▲]

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See detailL'analyse de la variance multivariée et l'analyse canonique discriminante : principes et applications
Palm, Rodolphe ULg

in Notes de Statistique et d'Informatique (2000), (1), 40

This note describes the principles of multivariate analysis of variance and of canonical discriminant analysis. The methods are illustrated by two examples.

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See detailA propos des qualificatifs complet, orthogonal et équilibré en analyse de la variance.
Iemma, A. F.; Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (1999), (2), 15

With examples, we introduce the words complete, orhtogonal and balanced used in analysis of variance.

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See detailEtude des hypothèses de l'analyse de la variance à deux critères de classification : approche par l'exemple
Iemma, A. F.; Claustriaux, Jean-Jacques ULg

in Notes de Statistique et d'Informatique (1999), (3), 36

By examples and results from SAS and Minitab softwares (GLM), analysis of variance hypothesis built to analyse a two dimensional data table are introduced.

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