Modeling insurance data using heavy-tailed distributions is of great interest for actuaries.
Probability distributions present a description of risk exposure, where the level of exposure …

Probability distributions have prominent applications in different sectors. Among these
sectors, probability models are mostly used to analyze datasets in engineering. Among the …

Heavy-tailed distributions play an important role in modelling data in actuarial and financial
sciences. In this article, nine new methods are suggested to define new distributions suitable …

Heavy‐tailed distributions play a prominent role in actuarial and financial sciences. In this
paper, we introduce a family of distributions that we refer to as exponential T‐X (ETX) family …

Predicting and modeling time-to-events data is a crucial and interesting research area. For
modeling and predicting such types of data, numerous statistical models have been …

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 …

Marketing means the strategies and tactics an organization undertakes for attracting
consumers to promote the buying or selling of a product or service. Active marketing is about …

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 …

Actuaries are constantly on the lookout for heavy-tailed (HT) distributions in order to model
data important to business and actuarial risk problems. In this article, we describe a novel …

Big data is a collection of complex and large volumes of data that is not easily handled by
the traditional process. The top ten big data science communities include Kaggle, IBM data …