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Asymptotic dependence of bivariate maxima
Publication . Ferreira, Helena; Ferreira, Marta
The Ledford and Tawn model for the bivariate tail incorporates a coefficient,
η, as a measure of pre-asymptotic dependence between the
marginals. However, in the limiting bivariate extreme value model, G, of
suitably normalized component-wise maxima, it is just a shape parameter
without reflecting any description of the dependency in G. Under
some local dependence conditions,we consider an index that describes
the pre-asymptotic dependence in this context. We analyze some particular
cases considered in the literature and illustrate with examples. A
small discussion on inference is presented at the end.
Multidimensional extremal dependence coefficients
Publication . Ferreira, Helena; Ferreira, Marta
Extreme value modeling has been attracting the attention of researchers in diverse areas
such as the environment, engineering, and finance. Multivariate extreme value distributions
are particularly suitable to model the tails of multidimensional phenomena. The
analysis of the dependence among multivariate maxima is useful to evaluate risk. Here
we present new multivariate extreme value models, as well as, coefficients to assess
multivariate extremal dependence.
Confidence intervals for variance components in gauge capability studies
Publication . Ferreira, Dário; Ferreira, Sandra S.; Nunes, Célia; Oliveira, Teresa A.; Mexia, João T.
We present a method, that uses pivot variables, which are functions of statistics and parameters, of constructing confidence intervals for variance components in gauge capability studies. As illustration we will consider a study on repeatability and reproducibility measures. Besides this the paper includes a simulation study demonstrating that in approximately 9500 out of 10000 simulations the 95% confidence interval covers the true value of the parameter.
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Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
5876
Funding Award Number
UID/MAT/00006/2013