This Go project is a statistical distribution visualizer that generates and displays histograms of different probability distributions. It's a console application that uses the gonum package, a set of ...

Abstract: Histogram is one widely used nonparametric estimation method. The shape of histogram probability density is affected by the width of bins. The measured data of traction load feeder currents ...

Abstract: The problem of determining minimum variance estimates for non-Gaussian situations is treated using probability histogram. To obtain a posteriori probability density function in the presence ...

Histograms are convenient non-parametric density estimators, which continue to be used ubiquitously. Summary quantities estimated from histogram-based probability density models depend on the choice ...

Probability density and cumulative density charts based on a weighted histogram include values > 1 ! In case of a weighted histogram probability values should be computed based on sum of weights and ...

(a) Verify that this is a legitimate discrete probability distribution and draw a probability histogram to display it. (b) What is P(X >= 5)? (c) What is P(X > 5)? (d) What is P(2 X = 4)? (e) What is ...

ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...