The monograph investigates the misapplication of conventional statistical techniques to fat
tailed distributions and looks for remedies, when possible. Switching from thin tailed to fat …

A comprehensive perspective on Weibull models The literature on Weibull models is vast,
disjointed, andscattered across many different journals. Weibull Models is acomprehensive …

A unified approach to the nonhomogeneous Poisson process in software reliability models
is given. This approach models the epochs of failures according to a general order statistics …

This book illustrates a number of modelling and computational techniques for addressing
relevant issues in reliability and risk analysis. In particular, it provides: i) a basic illustration of …

The aim of this article is to analyze multiple repairable systems data under the presence of
dependent competing risks. It is known that the dependence effect in this scenario …

Nonhomogeneous Poisson process (NHPP) also known as Weibull process with power law,
has been widely used in modeling hardware reliability growth and detecting software …

This paper states with the objective of investigating the finite-time stabilization and fixed-time
stabilization analysis for stochastic second-order neutral-type neural networks with mixed …

In this article, statistical inference and prediction analyses for the Weibull process with
incomplete observations via classical approach are studied. Specifically, observations in the …

In analyzing failure data pertaining to a repairable system, perhaps the most widely used
parametric model is a nonhomogeneous Poisson process with Weibull intensity, more …

Failures in repairable systems are often described by means of non-homogeneous Poisson
processes, identified by their intensity and mean value functions. Intervention on the systems …