Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

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 ...

Abstract: In this paper we validate through software simulation that a Gamma probability density function (pdf) can give a very good approximation of the detected intensity of the incoherent light ...

The main finding of this study is the derivation of a new probability distribution that reveals interesting properties, especially with various asymmetry and kurtosis ...

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 ...

1 Department of Business Administration and LaboMaths, University Julius Nyéréré of Kankan, Kankan, Guinea. 2 Faculty of Sciences, University Julius Nyéréré of Kankan, Kankan, Guinea. Several ...

dxxx(x,) returns the density or the value on the y-axis of a probability distribution for a discrete value of x pxxx(q,) returns the cumulative density function (CDF) or the area under the curve to ...

Matlab Variational LSTM Autoencoder and Time Series Prediction for anomaly detection. Some code of my masters thesis. Download Link: https://pure.unileoben.ac.at ...