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Visualising data distributions with kernel density estimation and reduced chi-squared statistic 被引量：8

Visualising data distributions with kernel density estimation and reduced chi-squared statistic
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摘要 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. 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.
作者 C.J.Spencer C.Yakymchuk M.Ghaznavi
机构地区 Earth Dynamics Research Group Department of Earth and Environmental Sciences David R.Cheriton School of Computer Science
出处 《Geoscience Frontiers》 SCIE CAS CSCD 2017年第6期1247-1252,共6页 地学前缘（英文版）
关键词 Data visualisation KERNEL DENSITY estimation REDUCED chi-squared statistic Mean SQUARE WEIGHTED deviation GEOSTATISTICS Data visualisation Kernel density estimation Reduced chi-squared statistic Mean square weighted deviation Geostatistics
分类号 O212 [理学—概率论与数理统计]
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Geoscience Frontiers
2017年 第6期

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