UWSpace is currently experiencing technical difficulties resulting from its recent migration to a new version of its software. These technical issues are not affecting the submission and browse features of the site. UWaterloo community members may continue submitting items to UWSpace. We apologize for the inconvenience, and are actively working to resolve these technical issues.
 

Visualising data distributions with kernel density estimation and reduced chi-squared statistic

Thumbnail Image

Files

1-s2.0-S1674987117300981-main.pdf (1.64 MB)

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

LC Keywords

Citation

URI

http://dx.doi.org/10.1016/j.gsf.2017.05.002
 http://hdl.handle.net/10012/13324

Collections

Waterloo Research
Earth and Environmental Sciences