Testing Goodness-of-Fit with the Kernel Density Estimator: GoFKernel
To assess the goodness-of-fit of a sample to a continuous random distribution, the most popular approach has been based on measuring, using either L∞ - or L2 -norms, the distance between the null hypothesis cumulative distribution function and the empirical cumulative distribution function. Indeed,...
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Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2015-08-01
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Series: | Journal of Statistical Software |
Online Access: | http://www.jstatsoft.org/index.php/jss/article/view/2278 |