?Smoothed histograms?: A visual aid for the analysis of distributions of muscle fiber areas
- 1 September 1991
- journal article
- research article
- Published by Wiley in Muscle & Nerve
- Vol. 14 (9) , 826-828
- https://doi.org/10.1002/mus.880140905
Abstract
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.Keywords
This publication has 4 references indexed in Scilit:
- The critical power and related whole-body bioenergetic modelsEuropean Journal of Applied Physiology, 2005
- Nonparametric probability density estimationJournal of Statistical Computation and Simulation, 1972
- Remarks on Some Nonparametric Estimates of a Density FunctionThe Annals of Mathematical Statistics, 1956
- Density Estimation for Statistics and Data AnalysisPublished by Springer Nature ,1400