Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model-selection criteria available in GEE. The well-known Akaike Information Criterion (AIC) cannot be directly applied since AIC is based on maximum likelihood estimation while GEE is ...

This paper considers the simple step-stress model from the Marshall-Olkin generalized exponential distribution when there is time constraint on the duration of the experiment. The maximum likelihood equations for estimating the parameters assuming a cumulative exposure model with lifetimes as the distributed Marshall Olkin generalized exponential are derived. The likelihood equations do not lea...

The most frequent methods to analyze statistical data are the regression methods, whereby the maximum likelihood method or that of least squares. On the one hand, in the context of the longitudinal data or repeated measurements, these data are often unbalanced; on the other hand, their law of probability are not normal rending the passage to other models with other methods of estimate possible....

generalized resolvent equations; variational inclusions; algorithm; convergence; generalized pseudocontractive mapping