Os modelos bivariados tem sido utilizados com sucesso na análise de processos hidrológicos. Neste trabalho, são deduzidas as distribuições exatas das variáveis U = X + Y, P = XY e Q = X/ (X + Y) juntamente com seus respectivos momentos quando seguem o modelo bivariado gama beta II. Essas funções descrevem importantes variáveis hidrológicas. Os resultados obtidos são aplicados em dados de precipitações pluviométricas ocorridas na cidade de Passo Fundo-RS.

Bivariate gamma distributions have been used successfully on modeling hydrological processes. In this work, supposing that X: and Y: follow the gamma beta II bivariate gamma model, we deduce the exact distributions of the functions U = X + Y P = XY: and Q = X/ (X + Y),: as well as their respective moments. Those functions describe important hidrological variables. An application of the results is provided to rainfall data from Passo Fundo - RS.

Neste trabalho, é introduzida uma família de distribuições denominada hipergeométrica confluente G que inclui os importantes modelos: beta normal, beta Weibull, beta Gumbel, beta Pareto, entre outros. Novas distribuições são apresentadas como membros dessa família, por exemplo, a distribuição hipergeométrica confluente normal e a distribuição hipergeométrica confluente Weibull. A estimação dos parâmetros dessa nova classe de distribuições generalizadas é estudada utilizando o Método da Máxima Verossimilhança e sua potencialidade é demonstrada na modelagem de um conjunto de dados reais de trinta e cinco crianças com deficiência do hormônio de crescimento.

In this paper we introduced a family of distributions called confluent hypergeometric G that includes the important models beta normal, beta Weibull, beta Gumbel, beta Pareto among others. New distributions are presented as members of this family, for example, confluent hypergeometric normal distribution and confluent hypergeometric Weibull distribution. The estimation of the parameters of this new class of generalized distributions is studied using the maximum likelihood method and its potential is demonstrated in the modeling of a real data set of thirty-five children with growth hormone deficiency.

Previous studies have shown that women are more emotionally expressive than men. It is unclear, however, if women are also more susceptible to the emotional modulation of behavior imposed by an affective stimulus. To investigate this issue, we devised a task in which female subjects performed six sequential trials of visual target detection following the presentation of emotional (mutilation and erotic) or neutral pictures (domestic utensils and objects) and compared the data obtained in the present study with those described in a previous study with male subjects. The experiment consisted of three blocks of 24 pictures and each block had an approximate duration of 4 min. Our sample consisted of 36 subjects (age range: 18 to 26 years) and each subject performed all blocks. Trials following the presentation of mutilation pictures (283 ms) had significantly slower reaction times than those following neutral (270 ms) pictures. None of the trials in the "pleasant block" (271 ms) was significantly different from those in the "neutral block". The increase in reaction time observed in the unpleasant block may be related in part to the activation of motivational systems leading to an avoidance behavior. The interference effect observed in this study was similar to the pattern previously described for men. Thus, although women may be more emotionally expressive, they were not more reactive to aversive stimuli than men, as measured by emotional interference in a simple reaction time task.