A new and flexible distribution is introduced for modeling proportional data based on the quantile of generalized extreme value distribution. We obtain explicit expressions moments, quantiles, other structural properties. An extended regression model constructed as an alternative to compete with beta regression. Some simulations from Bayesian perspectives are developed, illustrative application...

Clustered and heterogeneous interval-censored data occur in many fields such as medical studies. For example, a migraine study with the Netherlands Twin Registry, information including time to diagnosis of gender was collected for 3975 monozygotic dizygotic twins. Since each subject is observed only at discrete periodic follow-up points, failure times interest (i.e., when individual first had m...

The support vector machine (SVM) has been widely used in pattern recognition, regression and distribution estimation for crisp data. However, when dealing with large-scale data sets, the solution by using SVM with nonlinear kernels may be difficult to find. Under this circumstance, to develop an efficient method is necessary. Recently the reduced support vector machine (RSVM) was proposed as an...

Interval-censored failure time data often occur, for example, in clinical trials or longitudinal studies. For the regression analysis of such data, there have been a number of methods proposed based on continuous regression models such as Cox's proportional hazards model. In practice, however, observed interval-censored data that arise from clinical trials are often given in a discrete scale du...

In the interval censored case 1 data, an event occurrence time is unobservable, but one observes an inspection time and whether the event has occurred prior to this time or not. Such data is also known as the interval censored case 1 data. It is of interest to assess the effect of a covariate on the event occurrence time variable. This note constructs tests for fitting a class of parametric reg...

Survival analysis is a long-lasting and popular research area and has numerous applications in all fields such as social science, engineering, economics, industry, and public health. Interval-censored data are a special type of survival data, in which the survival time of interest is never exactly observed but is known to fall within some observed interval. Interval-censored data arise commonly...