Display of probability densities for data from a continuous distribution

TL;DR

This paper introduces a simple method leveraging cumulative distribution functions, Fourier series, and Kolmogorov tests to display probability densities more efficiently than histograms for continuous data.

Contribution

It proposes a novel approach combining existing statistical tools to visualize probability densities more effectively than traditional histograms.

Findings

Method provides clearer density visualization.

More efficient than histograms in many cases.

Applicable to various continuous data sets.

Abstract

Based on cumulative distribution functions, Fourier series expansion and Kolmogorov tests, we present a simple method to display probability densities for data drawn from a continuous distribution. It is often more efficient than using histograms.