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This paper aims to study two types of distinct vocatives in absolute position in Portuguese of Libolo (Angola), a barely studied African variety of Portuguese: the initial call and the insistent call. The results reveal that: (i) long postonic syllables characterize the two types of calls; (ii) there is greater variability in the duration of the postonic syllable of insistent calls; (iii) the duration is a robust correlate that distinguishes these two types of vocatives; and (iv) insistent calls are longer, both concerning the total duration of the utterance and in relation to the duration of each syllable (that is, there is an additive effect). These results are supported by statistical analyses. It was proved that the difference in duration between initial and insistent calls in Libolo Portuguese is statistically significant. Furthermore, Bayesian analyses not only conferred greater reliability on the results of the initial analyses, since it is a small dataset, but also provided a greater understanding of the relationship between the two types of vocatives, regarding the greater variability of results of the insistent call. [ABSTRACT FROM AUTHOR]

A maximum entropy copula is the copula associated with the joint distribution, with prescribed marginal distributions on [0, 1], which maximizes the Tsallis-Havrda-Chavát entropy with q = 2. We find necessary and sufficient conditions for each maximum entropy copula to be a copula in the class introduced in Rodríguez-Lallena and Úbeda-Flores (2004), and we also show that each copula in that class is a maximum entropy copula. [ABSTRACT FROM AUTHOR]

A family of conjugated distributions for a given type of copulas is defined in this paper. Those copulas can be written as a mixture of d-dimensional parameter exponential functions. The generalized Farlie-Gumbel-Morgenstern copula is an example of this representation. This family is used to illustrate the estimation technique with real data. Also, the applicability of Bayesian predictive approach is shown in an education policy issue by defining goals for the number of students per class that leads to improve their performance at school. [ABSTRACT FROM AUTHOR]

The family of the asymmetric logistic copulas appears naturally in modeling tail dependence. Within this family, some well-known models, as independence and logistic dependence, define precise hypotheses, having zero posterior probability for an absolute continuous posterior distribution. We show that the e-value associated to the Full Bayesian Significance Test has a good performance in non standard dependence problems, obtaining posterior estimates and predictive distributions. The analysis proposed is illustrated with two examples: (1) monthly sea level maxima at Newlyn and Sheerness, England (1990–2005) and (2) AIDS rates related to an educational indicator in U.S. Census Bureau (2007). We validate the inferences obtained through simulated data. [ABSTRACT FROM AUTHOR]