A two-parameter family of distributions on (0, 1) is explored which has many similarities to
the beta distribution and a number of advantages in terms of tractability (it also, of course …

Reliability theory has taken rapid strides in the last four decades to become an independent
discipline that influences our daily lives and schedules through our dependence on good …

Weibull distributions have received wide ranging applications in many areas including
reliability, hydrology and communication systems. Many estimation methods have been …

This paper aims at establishing the cumulative distribution function (CDF) of the output
variable of the probabilistic optimal power flow. In the context of the probability weighted …

Approximate Bayesian computation has become an essential tool for the analysis of
complex stochastic models when the likelihood function is numerically unavailable …

In this article, we survey and unify a large class or L-functionals of the conditional distribution
of the response variable in regression models. This includes robust measures of location …

The Weibull distribution is the most widely applied model in reliability analysis. The main
objective of this paper is to present a simple method called the minimum discrepancy …

We consider the use of the generalized lambda distribution (GLD) family as a flexible
distribution with which to model financial data sets. The GLD can assume distributions with a …

The generalized lambda distribution (GLD) is a flexible distribution for statistical modelling,
but existing estimation methodologies for the GLD are computationally difficult, rendering the …

Expanded uncertainty estimation is normally required for mission-critical applications, eg,
those involving health and safety. It helps to get a distribution range of the required …