Modeling income distributions is crucial for understanding inequality and providing evidence-based policy support. A key challenge, however, lies in evaluating the extent to which household income ...

The gamma function is a good approximation to the luminosity function (LF) of galaxies, and an exponentiated gamma distribution would permit a more rigorous analysis. This paper examines the ...

This study centers on incorporating memory effects (the impact of past events on current states) into mathematical models for population dynamics. It introduces a framework based on the gamma ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

The term Gamma settings sounds fancy, and sometimes people get confused about what their specific roles are in our monitors. The term gamma refers to the adjustment of gamma correction, a numerical ...

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) ...

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 ...

Department of Tropical Forestry, National University of Agriculture, Porto Novo, Republic of Benin. As a result, of this oversight, the purpose of this study was to investigate and select the most ...