Imputation of missing data and Inference by EM algorithm

Veuillez utiliser cette adresse pour citer ce document : https://di.univ-blida.dz/jspui/handle/123456789/19532

Titre:	Imputation of missing data and Inference by EM algorithm
Auteur(s):	Abbaci, Safaa Saidi, Manel Rassoul, Abdelaziz (Promoteur)
Mots-clés:	expectation maximization algorithm missing data imputation maximum likelihood Method
Date de publication:	jui-2022
Editeur:	Université Blida 1
Résumé:	Missing data is a major issue in many applied problems. in our work we examine data that are missing and . the aims of multiple imputation in comparison to single imputation, we also studying the statistical inference by likelihood Maximum method for sample with missing data with Maximization-Expectation algorithm. Finally, we present the mains packages for imputation of missing data, and we applied the EM algorithm for Mixture Gaussian model Keywords: expectation maximization algorithm, missing data, imputation, maximum likelihood Method
Description:	ill., Bibliogr. Cote: ma-510-135
URI/URL:	https://di.univ-blida.dz/jspui/handle/123456789/19532
Collection(s) :	Mémoires de Master

Fichier(s) constituant ce document :

Fichier	Description	Taille	Format
Abbaci Safaa et Saidi Manel.pdf		1,16 MB	Adobe PDF	Voir/Ouvrir

DSpace JSPUI