Sélection de variables pour la construction d'indicateurs de qualité de vie pour des données structurées en groupes
| hal.structure.identifier | Quality control and dynamic reliability [CQFD] | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | CHAVENT, Marie | |
| hal.structure.identifier | Aménités et dynamiques des espaces ruraux [UR ADBX] | |
| dc.contributor.author | KUENTZ-SIMONET, Vanessa | |
| hal.structure.identifier | Aménités et dynamiques des espaces ruraux [UR ADBX] | |
| dc.contributor.author | LABENNE, Amaury | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| hal.structure.identifier | Quality control and dynamic reliability [CQFD] | |
| dc.contributor.author | SARACCO, Jérôme | |
| dc.date.accessioned | 2024-04-04T03:19:36Z | |
| dc.date.available | 2024-04-04T03:19:36Z | |
| dc.date.issued | 2014 | |
| dc.date.conference | 2014-08-19 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/194523 | |
| dc.description.abstractEn | The 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.sponsorship | Adaptation 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.iso | en | |
| dc.subject.en | factor analysis | |
| dc.subject.en | dimension reduction | |
| dc.subject.en | quality of life | |
| dc.subject.en | mixed data type | |
| dc.title | Sélection de variables pour la construction d'indicateurs de qualité de vie pour des données structurées en groupes | |
| dc.title.en | Variable selection to construct indicators of quality of life for data structured in groups | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Mathématiques [math]/Statistiques [math.ST] | |
| bordeaux.page | 31 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | 21st International Conference on Computational Statistics (COMPSTAT) | |
| bordeaux.country | CH | |
| bordeaux.conference.city | Geneva | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01102825 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.conference.end | 2014-08-22 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01102825v1 | |
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