This article presents a Bayesian reliability modelling approach for wind turbines that
incorporates the effect of time‐dependent variables. Namely, the technique is used to …

Negatively skewed survival data arise in public health and in statistical research. Commonly
used distributions are not always well suited to this data. The reflected-shifted-truncated …

We aim to evaluate the marginal effects of covariates on time-to-disability in the elderly
under the semi-competing risks framework, as death dependently censors disability, not vice …

Abstract Machine learning techniques, popularly used as a tool for dimensionality reduction
and pattern recognition of features, have been utilized extensively in data mining. In survival …

(1) Background: Tuberculosis is a bacterial disease mainly caused by Mycobacterium
tuberculosis. It is one of the major public health problems in the world and now ranks …

We are concerned with the flexible parametric analysis of bivariate survival data. Elsewhere,
we argued in favour of an adapted form of the 'power generalized Weibull'distribution as an …

In this article, we consider shared frailty model with inverse Gaussian distribution as frailty
distribution and log-logistic distribution (LLD) as baseline distribution for bivariate survival …

Understanding the processes behind change in reproductive state along life‐history
trajectories is a salient research program in evolutionary ecology. Two processes, state …

Simulation studies play an important role in evaluating the performance of statistical models
developed for analyzing complex survival data such as those with competing risks and …

The Weibull is a popular distribution that models monotonous failure rate data. In this work,
we introduce the four-parameter Weibull extended Weibull distribution that presents greater …