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Sélection de variables pour la construction d'indicateurs de qualité de vie pour des données structurées en groupes

hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierAménités et dynamiques des espaces ruraux [UR ADBX]
dc.contributor.authorKUENTZ-SIMONET, Vanessa
hal.structure.identifierAménités et dynamiques des espaces ruraux [UR ADBX]
dc.contributor.authorLABENNE, Amaury
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorSARACCO, Jérôme
dc.date.accessioned2024-04-04T03:19:36Z
dc.date.available2024-04-04T03:19:36Z
dc.date.issued2014
dc.date.conference2014-08-19
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194523
dc.description.abstractEnThe analysis and measurement of quality of life may be made via two complementary approaches. The first one, based on survey of individuals, concerns the analysis of levels of life satisfaction. We focus here on the second one, based on national data, which analyses living conditions of people. The aim is to create composite indices of living conditions.According to authors, the components of quality of life are related to different themes (groups of variables): ``Family conditions", ``Employment", ``Housing",... For this purpose, dimension reduction methods are particularly suitable.Multiple Factor Analysis (MFA) is a method designed to handle data structured into groups of quantitative variables. In our study, each theme is composed of a group of quantitative and/or categorical variables. Since our data are naturally structured in groups of variables, we develop an extension of MFA for mixed data type, called MFAmix. Thus the principal components from MFAmix are our composite indices for measuring quality of life. However, the creation of these indices raises two questions. How many principal components keep to create indices? How select a limited number of variables to get similar indices for easier interpretation? We propose answers to these questions in this communication.
dc.description.sponsorshipAdaptation aux variations des régimes hydrologiques (crues-étiages) dans l'Environnement Fluvio-Estuarien de la Garonne-Gironde. Potentialités, mise à l'épreuve et gouvernance d'Options d'Adaptation - ANR-11-CEPL-0008
dc.language.isoen
dc.subject.enfactor analysis
dc.subject.endimension reduction
dc.subject.enquality of life
dc.subject.enmixed data type
dc.titleSélection de variables pour la construction d'indicateurs de qualité de vie pour des données structurées en groupes
dc.title.enVariable selection to construct indicators of quality of life for data structured in groups
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Statistiques [math.ST]
bordeaux.page31
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title21st International Conference on Computational Statistics (COMPSTAT)
bordeaux.countryCH
bordeaux.conference.cityGeneva
bordeaux.peerReviewedoui
hal.identifierhal-01102825
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2014-08-22
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01102825v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=S%C3%A9lection%20de%20variables%20pour%20la%20construction%20d'indicateurs%20de%20qualit%C3%A9%20de%20vie%20pour%20des%20donn%C3%A9es%20structur%C3%A9es%20en%20groupes&rft.atitle=S%C3%A9lection%20de%20variables%20pour%20la%20construction%20d'indicateurs%20de%20qualit%C3%A9%20de%20vie%20pour%20des%20donn%C3%A9es%20structur%C3%A9es%20en%20groupes&rft.date=2014&rft.spage=31&rft.epage=31&rft.au=CHAVENT,%20Marie&KUENTZ-SIMONET,%20Vanessa&LABENNE,%20Amaury&SARACCO,%20J%C3%A9r%C3%B4me&rft.genre=unknown


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