The unit exponentiated half logistic power series (UEHLPS), a family of compound
distributions with bounded support, is introduced in this study. This family is produced by …

Extreme rainfall events are a major cause of highly disruptive flooding in small urban
watersheds with limited flood risk management systems. In the Ngong River Basin of Kenya …

Unsupervised machine learning can interpret logarithmic returns and conditional volatility in
commodity markets. This article applies machine learning in order to visualize and interpret …

A common approach to learning Bayesian networks involves specifying an appropriately
chosen family of parameterized probability density such as Gaussian. However, the …

The following sections are a start on organizing references on stable distributions by topic. It
is far from complete. Starting on page 23 there is an extensive list of papers, most on stable …

Ranked set sampling (RSS) allows us to draw inference about the population parameters
more efficiently as compared with that in simple random sampling. Recent publication has …

We perform the most comprehensive test of cryptocurrency return distributions to date. We fit
58 hypothetical distributions to 15 major cryptocurrencies to establish which of these best …

In this study we introduce a new extended class of continuous distributions named
generalized Lindley family of distributions. Some properties of the new generator, including …

The effectiveness of the parental distribution is modified in this article by adding flexibility,
allowing it to capture all characteristics of the provided real-world data sets. This is …

Based on U-empirical process we construct a jackknife empirical likelihood-based test for
testing one-sided Lévy distribution. Adjusted jackknife empirical likelihood test also …