The Student'st distribution is the most popular model for economic and financial data. In
recent years, many generalizations of the Student'st distribution have been proposed. This …

A new class of distributions, the generalized log-Moyal, suitable for modelling heavy tailed
data is proposed in this article. This class exhibits desirable properties relevant to actuarial …

In this paper, we propose a family of heavy tailed distributions, by incorporating a
trigonometric function called the arcsine exponentiated‐X family of distributions. Based on …

Actuaries are often in search of finding an adequate model for actuarial and financial risk
management problems. In the present work, we introduce a class of claim distributions …

ABSTRACT A correct modelization of the insurance losses distribution is crucial in the
insurance industry. This distribution is generally highly positively skewed, unimodal hump …

This is an introductory book on continuous statistical distributions and its applications. It is
primarily written for graduate students in engineering, undergraduate students in statistics …

The probabilistic behavior of the claim severity variable plays a fundamental role in
calculation of deductibles, layers, loss elimination ratios, effects of inflation, and other …

It is proven evidently that probability distributions have a significant role in data modeling for
decision-making. Due to the indispensable role of probability distributions for data modeling …

In this paper, a new methodology based on the use of the inverse of the circular tangent
function that allows us to add a scale parameter (say α) to an initial survival function is …

Continuous parametric distributions are useful tools for modeling and pricing insurance
risks, measuring income inequality in economics, investigating reliability of engineering …