Person:
Martín Apaolaza, Nirian

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First Name
Nirian
Last Name
Martín Apaolaza
URI
https://hdl.handle.net/20.500.14352/76377
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Comercio y Turismo
Department
Economía Financiera, Actuarial y Estadística
Area
Estadística e Investigación Operativa
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Item Type: Publication × Subject: 004.415.26 ×

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    New statistics to test log-linear modeling hypothesis with no distributional specifications and clusters with homogeneous correlation
    (Journal of Computational and Applied Mathematics, 2020) Alonso Revenga, Juana María; Martín Apaolaza, Nirian; Pardo Llorente, Leandro; Brugnano, Luigi; Efendiev, Yalchin; Keller, André; Kwok-Po, Michael; Romani, Lucia; Tank. Fatih
    Traditionally, the Dirichlet-multinomial distribution has been recognized as a key model for contingency tables generated by cluster sampling schemes. There are, however, other possible distributions appropriate for these contingency tables. This paper introduces new statistics capable of testing log-linear modeling hypotheses with distributional unspecification, when the individuals of the clusters are possibly homogeneously correlated. An estimator for the intracluster correlation coefficient, valid for different cluster sizes, plays a crucial role in the construction of the goodness-of-fit test-statistics.