Visualising data distributions with kernel density estimation and reduced chi-squared statistic
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 stati...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017-11-01
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| Series: | Geoscience Frontiers |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674987117300981 |
| _version_ | 1797713839482994688 |
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| author | C.J. Spencer C. Yakymchuk M. Ghaznavi |
| author_facet | C.J. Spencer C. Yakymchuk M. Ghaznavi |
| author_sort | C.J. Spencer |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T07:42:49Z |
| format | Article |
| id | doaj.art-9d41e39806b8422d90b3cfe63ef1ec0e |
| institution | Directory Open Access Journal |
| issn | 1674-9871 |
| language | English |
| last_indexed | 2024-03-12T07:42:49Z |
| publishDate | 2017-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geoscience Frontiers |
| spelling | doaj.art-9d41e39806b8422d90b3cfe63ef1ec0e2023-09-02T21:11:46ZengElsevierGeoscience Frontiers1674-98712017-11-01861247125210.1016/j.gsf.2017.05.002Visualising data distributions with kernel density estimation and reduced chi-squared statisticC.J. Spencer0C. Yakymchuk1M. Ghaznavi2Earth Dynamics Research Group, The Institute of Geoscience Research, Department of Applied Geology, Curtin University, Perth, AustraliaDepartment of Earth and Environmental Sciences, University of Waterloo, Waterloo, CanadaDavid R. Cheriton School of Computer Science, University of Waterloo, Waterloo, CanadaThe 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.http://www.sciencedirect.com/science/article/pii/S1674987117300981Data visualisationKernel density estimationReduced chi-squared statisticMean square weighted deviationGeostatistics |
| spellingShingle | C.J. Spencer C. Yakymchuk M. Ghaznavi Visualising data distributions with kernel density estimation and reduced chi-squared statistic Geoscience Frontiers Data visualisation Kernel density estimation Reduced chi-squared statistic Mean square weighted deviation Geostatistics |
| title | Visualising data distributions with kernel density estimation and reduced chi-squared statistic |
| title_full | Visualising data distributions with kernel density estimation and reduced chi-squared statistic |
| title_fullStr | Visualising data distributions with kernel density estimation and reduced chi-squared statistic |
| title_full_unstemmed | Visualising data distributions with kernel density estimation and reduced chi-squared statistic |
| title_short | Visualising data distributions with kernel density estimation and reduced chi-squared statistic |
| title_sort | visualising data distributions with kernel density estimation and reduced chi squared statistic |
| topic | Data visualisation Kernel density estimation Reduced chi-squared statistic Mean square weighted deviation Geostatistics |
| url | http://www.sciencedirect.com/science/article/pii/S1674987117300981 |
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