Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...

In this paper, we consider the function f p ( t )= 2p X 2 ( 2p t+p;p ) , where χ²(x; n) defined by X 2 ( x;p )= 2 −p/2 Γ( p/2 ) e −x/2 x p/2−1 , is the density function of a χ²-distribution with n ...

As is well known, the normal distribution is a key tool in probability and statistics. It can be described as a distribution that obeys a universal rule derived from one of the most important theorems ...

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 ...

Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...

The COS method was introduced in Fang & Oosterlee (2008) and then was applied to pricing a variety of stock options for continuous random variables. This paper adapts the Fourier-cosine series (COS) ...

So I'm seeding a database with faker. I have field that allow array of some type. I want to generate multiple array, but with different size. Some where the array is empty, some where the array has 1 ...

Probability Distribution Functions is a Python package to help in different kind of probability distributions for a Data Scientist. Probability distributions are a must know for a Data Scientist. It ...