0000000000311969

AUTHOR

Karlis Berzins

showing 2 related works from this author

Spline histogram method for reconstruction of probability density function of clusters of galaxies

2003

We describe the spline histogram algorithm which is useful for visualization of the probability density function setting up a statistical hypothesis for a test. The spline histogram is constructed from discrete data measurements using tensioned cubic spline interpolation of the cumulative distribution function which is then differentiated and smoothed using the Savitzky-Golay filter. The optimal width of the filter is determined by minimization of the Integrated Square Error function. The current distribution of the TCSplin algorithm written in f77 with IDL and Gnuplot visualization scripts is available from http://www.virac.lv/en/soft.html

Computer Science::GraphicsAstrophysics (astro-ph)MathematicsofComputing_NUMERICALANALYSISFOS: Physical sciencesAstrophysicsComputingMethodologies_COMPUTERGRAPHICS
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Spline Histogram Method for Reconstruction of Probability Density Functions of Clusters of Galaxies

2003

We describe the spline histogram algorithm which is useful for visualization of the probability density function setting up a statistical hypothesis for a test. The spline histogram is constructed from discrete data measurements using tensioned cubic spline interpolation of the cumulative distribution function which is then differentiated and smoothed using the Savitzky-Golay filter. The optimal width of the filter is determined by minimization of the Integrated Square Error function. The current distribution of the TCSplin algorithm written in f77 with IDL and Gnuplot visualization scripts is available from this http URL

PhysicsCumulative distribution functionMathematicsofComputing_NUMERICALANALYSISProbability density functionAstrophysicsVisualizationSpline (mathematics)Computer Science::GraphicsHistogramMinificationSpline interpolationAlgorithmComputingMethodologies_COMPUTERGRAPHICSStatistical hypothesis testing
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