"Smoothed histograms": a visual aid for the analysis of distributions of muscle fiber areas
Research output: Contribution to journal › Article
The Kernel Density Estimator (KDE) is a versatile nonparametric technique with very good theoretical properties. It is used to obtain "smoothed histograms," which allows several distributions to be presented and analyzed more easily on one graph, and direct combination into average distributions. The application of the KDE method as a visual aid for the analysis of distributions of muscle fiber areas is presented here.
|Research areas and keywords||
Subject classification (UKÄ) – MANDATORY
|Journal||Muscle and Nerve|
|Publication status||Published - 1991|