@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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    dct:description """
              This dissertation first presents a general representation of poverty measures that concerns all uni-dimensional poverty measures based on the income distribution. We then, deals with two types of estimators of this general poverty index : a kernel one and a plug-in one, and analyze their asymptotic properties. Our methodology, essentially based on the modern theory of empirical processes indexed by functions, offers a general and rigorous framework, which allows to study in the same approach, the asymptotic behaviour of all the income-based poverty measures that are still available yet in the literature. We obtain the strong and uniform consistency of a very broad class of poverty measures including almost all the poverty indices proposed by economists, both decomposable and non-decomposable. This result applies for building simultaneous and accurate asymptotic confidence bands for the theoritical poverty index . A uniform functional central limit theorem is also established for this wide class of poverty measures. As a consequence, robust statistical inference procedures, based upon the covariance structure, are developped using a Wald test, in order to compare in a non-ambiguous manner two different populations in terms of poverty
            """ ;
    dct:identifier "NNT: 2011PA066053" ;
    dct:issued "2026-05-11T01:06:40.761074"^^xsd:dateTime ;
    dct:language "fr" ;
    dct:modified "2026-05-11T01:06:40.761079"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Non-parametric estimation and weak convergence of poverty measures" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00825389v1/resource/0e25de84-cabf-4cc3-b00c-0e3567a8b80f> ;
    dcat:keyword "convergence-faible",
        "estimateurs-a-noyau",
        "estimateurs-de-type-plug-in",
        "indice-general-de-pauvrete",
        "infoeu-reposemanticsdoctoralthesis",
        "intervalles-de-confiance",
        "mathmath-stmathematics-mathstatistics-mathst",
        "processus-empirique-indexe-par-des-fonctions",
        "statthstatistics-statstatistics-theory-statth",
        "theses" ;
    dcat:landingPage <https://theses.hal.science/tel-00825389> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-tel-00825389v1/resource/0e25de84-cabf-4cc3-b00c-0e3567a8b80f> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-11T01:06:40.776727"^^xsd:dateTime ;
    dct:modified "2026-05-11T01:06:40.743489"^^xsd:dateTime ;
    dct:title "Non-parametric estimation and weak convergence of poverty measures" ;
    dcat:accessURL <https://theses.hal.science/tel-00825389> .

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    foaf:name "test_moissonnage_selune" .

<https://theses.hal.science/tel-00825389> a foaf:Document .

