Experiments related to recurrent events provide information about the number of events, time to their ocurrence and their costs. Nelson (1995) presents a methodology to obtain confidence intervals for the cost and the ...

The statistical analysis of the continuous data set has been developed in most cases for normal models, specially, in the linear and nom linear models context. In the simple linear regression models, even accepting as ...

The goal of this work is to present a classic and a bayesian approach to the Tweedie Compound Poisson model considering the form and application shown at Jorgensen & Souza (1992). A speci.c goal is to estimate the individual ...

Compositional data are given by vectors of positive numbers with sum equals to one. These kinds of data are common in many applications, as in geology, biology, economy among many others. In this paper, we introduce a ...

In this work, a bayesian methodology is shown to estimate the size of a diabethic-su¤ering population through lists containing information data of patients. The applied methodology is analogous of capture-recaptures in ...

The modeling of data of survival with the presence of covariáveis by means of the risk function has been each used time more had the easiness of interpretation One of the examples most important of risk models is the model ...

The proteins are important molecules from the cells, whereas they take part since the construction of cell´s framing until the transmission of the genetic information between the generations. A protein can be characterized ...

Ranked set sampling is an efficient and practice way to obtain more precise estimative when the sample size is small because of the high cost or difficulties to measure the interest variable. Using rough and cheap qualitative ...

This work presents a classical and a Bayesian approaches to two sigmoidal grownth curves, the Gompertz and the Richards models. We consider the homoscedastic assumption and a multiplicative heteroscedastic structure. For ...

In this dissertation, we introduce classical and Bayesian approaches to get inferences on the parameters of interest, considering exponential and Weibull distributions for the lifetimes. For a Bayesian analysis, we assume ...