The Weibull distribution is widely used in lifetime data analysis. For example, in studies on
the time to the occurrence of tumors in human populations or in laboratory animals, the time …

For the first time, ten frequentist estimation methods are considered on stress-strength
reliability R= P (Y< X) when X and Y are two independent Weibull distributions with the …

In this paper we present the comprehensive analysis for complete failure data. The aim of
this research is the Empirical Analysis of the Weibull Distribution for Failure Data. We access …

In this paper, we study three different models, each involving two Weibull distributions, to
model failure data. We carry out a characterization of the plots on Weibull plotting paper …

The Weibull intensity is often used in survival analysis of technical products, it is an
extremely important intensity to characterize the probabilistic behavior of a large number of …

A usual problem in applied statistics is the one related to the estimation of the common area
under two distributions, which is usually estimated by means of an overlapping coefficient …

In this article we consider the estimation of the stress-strength reliability parameter, R= P (X<
Y) when the stress (X) and the strength (Y) are dependent random variables distributed as …

Abstract After introducing three-Parameter Weibull and Fréchet models we define various
least squares and minimum distance estimation methods in general. We then show how …

Least-squares rank regression is often used for curve fitting Weibull or Normal failure data.
Most software packages calculate the correlation coefficient, r, or the coefficient of …

In this research article, we estimate the multicomponent stress–strength reliability of a
system when strength and stress variates are drawn from an exponentiated Weibull …