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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Bibliographic Details
Main Author: Jose M. Pavia
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2015-08-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/2278