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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The exponentiated generalized family of continuous distributions

ANDRADE, Thiago Alexandro Nascimento de 16 January 2017 (has links)
Submitted by Rafael Santana (rafael.silvasantana@ufpe.br) on 2018-02-16T19:31:09Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Thesis-Thiago A N de Andrade Final CD.pdf: 4166902 bytes, checksum: 6f1f38e9a23a6f7d1b77f650f8a052ec (MD5) / Made available in DSpace on 2018-02-16T19:31:09Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Thesis-Thiago A N de Andrade Final CD.pdf: 4166902 bytes, checksum: 6f1f38e9a23a6f7d1b77f650f8a052ec (MD5) Previous issue date: 2017-01-16 / CAPES / Statistical and applied researchers have shown great interest in building new extended probability models that generalize well-known distributions and are more flexible for data modeling in many fields of applications. Probably, one of the most popular ways to extend well-known models is to consider distribution generators. Aclass of univariate distributions called the exponentiated generalized (EG for short) class was recently proposed in the literature. We believe that the EG class of distributions can be widely used to generalize continuous distributions. For this reason, the present doctoral thesis presents some extended models using the EG class. For each model presented in the chapters that follow, we provide a complete mathematical treatment, simulation studies and applications to real data that illustrate the usefulness of the model sunder study. / Estatísticos e pesquisadores aplicados têm mostrado grande interesse em propor novos modelos de probabilidade estendidos que generalizam distribuições bem estabelecidas na literatura. Provavelmente, uma das formas mais populares de estender modelos bem conhecido sé considerando os chama dos geradores de distribuições. Uma classe de distribuições univariadas chamada de classe exponencializada generalizada (EG) foi proposta recentemente na literatura. Acreditamos que a classe EG de distribuições pode ser amplamente utilizada para generalizar distribuições contínuas. Por esta razão, a presente tese de doutorado apresenta alguns modelos estendidos usando a classe EG. Para cada modelo apresentado nos capítulos que se seguem, fornecemos um tratamento matemático completo, estudos de simulação e aplicações a dados reais que ilustram a utilidade dos modelos em estudo.

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