On October 1, 2022, something strange happened in the Philippines: 433 people won the jackpot in the local lottery. In other ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Abstract: This article analyzes the stability of probabilistic Boolean networks (PBNs) with switching discrete probability distribution (DPD). First, the dynamics of PBNs with switching DPD is ...

Abstract: This paper is concerned with the protocol-based fault detection problem for a class of discrete systems with mixed time delays and missing measurements under uncertain missing probabilities.

The mean, also known as the expected value, of a discrete probability distribution is a fundamental concept in statistics and probability theory. It represents the average outcome you would expect if ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

We consider a discrete-time risk process driven by proportional reinsurance and an interest rate process. We assume that the interest rate process behaves as a Markov chain. To reduce the risk of ruin ...

Probability distribution is an essential concept in statistics, helping us understand the likelihood of different outcomes in a random experiment. Whether you’re a student, researcher, or professional ...