Kernel Density Estimation(KDE) : Non Parametric Statistical Estimation: PROC KDE in SAS

Non Parametric way of estimation to get probability density function. Basically used for data smoothing .Non Parametric – Less restrictions, Less assumptions. Kernel estimation plots are useful when there is no theoretical probability distribution available for a given variable.
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