It is well known that the Weibull distribution is the most popular and the most widely used
distribution in reliability and in analysis of lifetime data. Unfortunately, its hazard function …

The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous
situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing …

The spread of SARS-CoV-2 can be considered one of the most complicated patterns with a
large number of uncertainties and nonlinearities. Therefore, analysis and prediction of the …

In reliability research, electronic devices are an important part of our lives and modelling
their lives is the most difficult and fascinating area. To investigate the failure functioning of …

Weibull distribution is widely used for modeling the wind speed data in literature. However,
in real life, the wind speed data may not always be modeled by using the Weibull …

The classical analysis of Stochastic Gradient Descent (SGD) with polynomially decaying
stepsize $\eta_t=\eta/\sqrt {t} $ relies on well-tuned $\eta $ depending on problem …

In this paper, we present a new univariate flexible generator of distributions, namely, the odd
Perks-G class. Some special models in this class are introduced. The quantile function …

This paper aims at defining an optimal statistical model for the COVID-19 distribution in the
United Kingdom, and Canada. A combining the inverted Topp–Leone distribution and the …

A new three-parameter exponential-type family of distributions which can be used in
modeling survival data, reliability problems and fatigue life studies is introduced. Its failure …

Abstract Operation & maintenance (O&M) costs account for a large portion of total life cycle
cost for onshore wind energy, and the amount is estimated to be more for offshore wind …