Documentation scienceplus.abes.fr version Bêta

À propos de : The use of nonparametric statistics in quantitative electron microscopy        

AttributsValeurs
type
Is Part Of
Subject
Title
  • The use of nonparametric statistics in quantitative electron microscopy
has manifestation of work
related by
Author
Abstract
  • Parametric statistical methods assume samples that have a normal distribution and representative sample sizes (i.e.n>20). Quantitative electron microscopy is inherently restricted to small sample sizes and a priori there is no way to know if the expression of the ligand being studied has a normal distribution. Thus to make statistical inferences based on data generated by quantitative electron microscopy using parametric methods may not be justified. Nonparametric statistical methods offer a tool for the evaluation of data that do not meet the criteria for analysis by parametric methods. In this report I show the utility of using nonparametric statistical methods for the analysis of data generated by quantitative electron microscopy.
article type
publisher identifier
  • 49.4.545
is part of this journal



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata