Daudin, Jean-Jacques

Statistique inférentielle : idées, démarches, exemples by Jean-Jacques Daudin( Book )

5 editions published between 1999 and 2001 in French and held by 108 WorldCat member libraries worldwide

Cet ouvrage présente les principaux concepts et la démarche de la statistique inférentielle qui a pour objectif de transporter des affirmations établies sur un ensemble d'objets, l'échantillon, vers une population plus générale. Il s'adresse à des étudiants d'écoles d'ingénieurs ou de commerce, d'universités en sciences sociales ou en sciences de la vie

Le modèle linéaire et ses extensions : modèle linéaire général, modèle linéaire généralisé, modèle mixte, plans d'expériences by Liliane Bel( Book )

1 edition published in 2015 in French and held by 77 WorldCat member libraries worldwide

Techniques mathématiques pour l'industrie agroalimentaire( Book )

5 editions published between 2002 and 2018 in French and held by 70 WorldCat member libraries worldwide

Les outils et le contrôle de la qualité by Jean-Jacques Daudin( Book )

2 editions published in 1996 in Spanish and French and held by 60 WorldCat member libraries worldwide

La programmation linéaire dans les modèles de production by Jean-Marc Boussard( Book )

2 editions published in 1988 in French and held by 46 WorldCat member libraries worldwide

La programmation linéaire dans les modèles de production by Jean-Marc Boussard( Book )

4 editions published in 1988 in French and held by 6 WorldCat member libraries worldwide

Modèle de mélange sur la variance pour l'analyse différentielle des biopuces by Paul Delmar( Book )

2 editions published in 2005 in French and held by 3 WorldCat member libraries worldwide

The recent development of high throughput technologies in the life science industry and molecular biology has prompted major advances in the fields of statistics and data analysis. We propose a novel method, named VarMixt, for the tasks of variance estimation and differential analysis of DNA microarrays. This method is elaborated upon an original mixture model on the distribution of the gene variance. The issues of parameters estimation and model selection are addressed. The performance of our method is assessed with large simulation studies. A diversity of real world applications illustrates its relevance and its impact in addressing real biological problems. Some ideas are mentioned to extend our mixture model to linear mixed models that can take into account complex correlation structures

Régression robuste : méthode des moindres carrés repondérés, mise au point du logiciel Rosepack sur Mini 6 by Mohamed M'Ghinia( Book )

1 edition published in 1984 in French and held by 3 WorldCat member libraries worldwide

This thesis is concerned with the resolution of the multiple linear regression model using logiciel Rosepack .The method used is that of reweight least squares : M-Estimates (Reweighting in function of residuals). The thesis also treats the detection of suspect observation: those which differ from the model chosen a priori and which generally influence the different statistics studied. Finally, a note on the use of Rosepack is proposed with some worked examples

Segmentation-classification de processus : application à l'analyse des données de microarrays CGH by Franck Picard( Book )

2 editions published in 2005 in English and held by 3 WorldCat member libraries worldwide

This thesis is devoted to the development of a new statistical model for segmentation/clustering problems. The objective is to partition the data into homogeneous regions and to cluster these regions into a finite number of groups. Segmentation/clustering problems are traditionally studied with hidden Markov models. We propose an alternative model which combines segmentation models and mixture models. We construct our model in the Gaussian case and we propose a generalization to discrete dependent variables. The parameters of the model are estimated by maximum likelihood with a hybrid algorithm based on dynamic programming and on the EM algorithm. We study a new model selection problem which is the simultaneous selection of the number of clusters and of the number of segments. We propose a heuristic for this choice. Our model is applied to the analysis of CGH microarray data (Comparative Genomic Hybridization). This technique is used to measure the number of thousands of genes on the genome in one experiment. Our method allows us to localize deleted or amplified regions along chromosomes. We also propose an application to the analysis of DNA sequences for the identification of homogeneous regions in terms of nucleotide composition

ETUDE DE LA LIAISON ENTRE VARIABLES ALEATOIRES : REGRESSION SUR VARIABLES QUALITATIVES by Jean-Jacques Daudin( Book )

1 edition published in 1978 in French and held by 3 WorldCat member libraries worldwide

MESURE DE LA LIAISON ENTRE VARIABLES ALEATOIRES. DECOMPOSITION DE LA LIAISON ENTRE UNE ET PLUSIEURS VARIABLES ALEATOIRES. LIAISON CONDITIONNELLE. PREDICTION D'UNE VARIABLE DISCRETE A L'AIDE DE VARIABLES DISCRETES. MODELES SUR LES VARIABLES CONDITIONNELLES. ESTIMATION ET TESTS. ALGORITHME DE CALCUL. DECOMPOSITION DE LA LIAISON MESUREE PAR LE MDIS ENTRE VARIABLES ALEATOIRES. EXEMPLES