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Seminário
UFSCar/USP ? 16/09/2011 - 14h00
LOCAL: Sala de seminários
DEs/UFSCar TITLE: FULL
BAYESIAN SIGNIFICANCE TEST FOR ZERO-INFLATED DISTRIBUTIONS PALESTRANTE: Prof. Dr. Josemar
Rodrigues ? DEs/UFSCar ABSTRACT: In this article, we discuss an application of the Full Bayesian
Significance Test (FBST) introduced by Pereira and Stern (1999) to compute the
evidence of the Poisson distribution against the Zero-Inflated Poisson
distribution (ZIP). The FBST is intuitive and easy to implement via Winbugs as
an alternative to the classical tests formulated by Xie et al. (2001) in
statistical process context. This evidence measure is based on the augmented
data and used to test the fitting of the ZIP model for count data with excess of
zeros in two illustrative examples in the statistical process control and the
horticultural research. Keywords: Augmented data; Evidence; Gibbs sampling; Poisson
distributions; Horticultural research; Mixture distributions; Statistical
control process. |