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

Interest Rate Probability Distributions Implied by Derivatives Prices is a daily measure of the distribution of future short-term interest rates, calculated from prices of fixed-income derivatives ...

I've been working with MathNet.Numerics.Distributions recently and I'm really confused by certain design decisions. When writing generic algorithms that operate on probability distributions; it's ...

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 ...

Abstract: While probability distribution functions are crucial for simulating random processes, research on these functions and their features is required. However, studies have demonstrated that in ...

Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia This study introduces a five-parameter continuous probability model named the Beta-Exponential-Gaussian distribution by ...

In statistics, the expected value of a random variable is a measure of the central tendency of its probability distribution. In simple terms, it gives you an idea of what value you should expect to ...

This article aimed to present a new continuous probability density function for a non-negative random variable that serves as an alternative to some bounded domain distributions. The new distribution, ...