Visualising data distributions with kernel density estimation and reduced chi-squared statistic
Loading...
Date
2017-11-01
Authors
Spencer, Christopher J.
Yakymchuk, Chris
Ghaznavi, Mahmoudreza
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
The application of frequency distribution statistics to data provides objective means to assess the nature of the data distribution and viability of numerical models that are used to visualize and interpret data. Two commonly used tools are the kernel density estimation and reduced chi-squared statistic used in combination with a weighted mean. Due to the wide applicability of these tools, we present a Java-based computer application called KDX to facilitate the visualization of data and the utilization of these numerical tools.
Description
Keywords
Data visualisation, Kernel density estimation, Reduced chi-squared statistic, Mean square weighted deviation, Geostatistics