"Smoothed histograms": a visual aid for the analysis of distributions of muscle fiber areas

Research output: Contribution to journalArticle

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.

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Neurology
  • Surgery

Keywords

  • biopsy, data interpretation, statistical, microscopy, muscles, statistics
Original languageEnglish
Pages (from-to)826-828
JournalMuscle and Nerve
Volume14
Issue number9
Publication statusPublished - 1991
Publication categoryResearch
Peer-reviewedYes