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

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

The probability distribution of a random variable, often denoted as x, is simply called a distribution, a cornerstone concept in probability theory and statistics. It provides a complete description ...

The total area under the curve must equal 1, representing the fact that the probability of some outcome occurring within the entire range is certain. \[\int_{-\infty}^{\infty}f\left(x\right)dx=1\] ...

Abstract: This paper addresses the problem of designing nonlinear discrete-time dynamical systems for prospective use in low-complexity random signal generators. Drawing upon ergodic systems theory, ...

Discrete random variables take only specific, countable values. Stock prices are examples of discrete random variables due to tick sizes. Continuous random variables, like stock returns, can take any ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...

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 ...