| Estimating the number of motor units using random sums with independently thinned terms. | |
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MedLine Citation:
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PMID: 16797602 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The problem of estimating the numbers of motor units N in a muscle is embedded in a general stochastic model using the notion of thinning from point process theory. In the paper a new moment type estimator for the numbers of motor units in a muscle is denned, which is derived using random sums with independently thinned terms. Asymptotic normality of the estimator is shown and its practical value is demonstrated with bootstrap and approximative confidence intervals for a data set from a 31-year-old healthy right-handed, female volunteer. Moreover simulation results are presented and Monte-Carlo based quantiles, means, and variances are calculated for N in{300,600,1000}. |
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Authors:
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Samuel Müller; Adriana Bastos Conforto; Werner J Z'graggen; Alain Kaelin-Lang |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2006-04-25 |
Journal Detail:
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Title: Mathematical biosciences Volume: 202 ISSN: 0025-5564 ISO Abbreviation: Math Biosci Publication Date: 2006 Jul |
Date Detail:
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Created Date: 2006-07-17 Completed Date: 2006-09-28 Revised Date: 2009-11-11 |
Medline Journal Info:
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Nlm Unique ID: 0103146 Medline TA: Math Biosci Country: United States |
Other Details:
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Languages: eng Pagination: 29-41 Citation Subset: IM |
Affiliation:
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Department of Mathematical Statistics and Actuarial Science, University of Bern, 3012 Bern, Switzerland. samuel.mueller@stat.unibe.ch |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Female Humans Mathematics Models, Neurological* Motor Neurons / cytology*, physiology Muscle, Skeletal / innervation Stochastic Processes |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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