Linked Life Data

7154713

Source:http://linkedlifedata.com/resource/pubmed/id/7154713

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1983-3-11
pubmed:abstractText
Neuronal soma size distributions are often very skewed, leading to difficulty in their characterization and in the application of statistics commonly used to describe normally distributed variables. A particular family of curves, called Weibull functions, can be shown to fit cell size data extremely well. These functions not only characterize these skewed distributions, but do so in a way which permits powerful, sensitive comparisons of differences between distributions. Because of the flexibility of the Weibull functions, they may be used to describe a variety of morphological attributes. Several applications of these functions to neuroanatomical data are described using methods which require only graph paper and hand calculator for curve fitting. An extension of the basic curve fitting method permits mixtures of Weibull functions to be used in describing multimodal size histograms.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0165-0270
pubmed:author
pubmed:issnType
Print
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
311-26
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1982
pubmed:articleTitle
Analysis of neuronal soma size distributions.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.