[ABE-L] Seminário Conjunto UFSCar/ICMC – 29/06/2018 (sexta-feira)

[Vera Tomazella]

Seminário Conjunto UFSCar/ICMC


Data e horário: 29/06/2018 às 14 horas

Local: DEs-UFSCar, Sala 43

Título: Ranked set sampling based estimation in two extended Lindley
distributions

Palestrante: Prof. Dr. Cesar Augusto Taconeli, Departamento de Estatística,
Universidade Federal do Paraná

Resumo: The problem of analyzing lifetime data arises in several applied
fields, such as biology, medicine and engineering. Among the distributions
used for modeling this type of data, we have the Lindley distribution and
some extensions, widely used in the context of reliability studies. Two
distributions that generalizes the original one-parameter Lindley
distribution were considered in this work: the Power Lindley (PL) and
Weighted Lindley (WL) models. Our objective was to develop and evaluate
maximum likelihood estimation for PL and WL distributions using three
sampling designs based on ranked sets: ranked set sampling (RSS), extreme
ranked set sampling (ERSS) and median ranked set sampling (MRSS). Such
sampling designs are efficient alternatives to the usual simple random
sampling when measuring the variable of interest is difficult or expensive,
but it may be possible ranking sample units according to some alternative,
cheap and accessible criterion. Through an extensive simulation study, we
could assess the best performance of RSS based estimators relative to their
simple random sampling counterpart. The impact of different proportions of
right censored data was also evaluated. An application based on lifetime of
aluminum specimens complements this study.

Att

-- 
Profa. Vera Tomazella
UFSCar  São Carlos   Brazil
http://www.servidores.ufscar.br/vera/
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