Visualising data distributions with kernel density estimation and reduced chi-squared statistic
MetadataShow full item record
© 2017 China University of Geosciences (Beijing) and Peking University. 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 KD. X to facilitate the visualization of data and the utilization of these numerical tools.
Showing items related by title, author, creator and subject.
Wright, Graeme L. (2000)The objective of this study was to investigate the application of multiscale satellite remote sensing data for assessment of land cover change in the rural-urban fringe. Inherent in this assessment process was the ...
Big Data—A New Technology Trend and Factors Affecting the Implementation of Big Data in Australian IndustriesIssa, Tomayess; Jadeja, B. (2018)Big data is new technology trend and it provides immense advantages. There are too many social networking websites people are using, these websites more than ever before. The data which has been created in the last 5 years ...
Turner, Sian Elizabeth (2009)Background and research questions. The characterization of chronic persistent asthma in an older adult population is not well defined. This is due to the difficulties in separating the diagnosis of asthma from that of ...