A New Theoretical Framework for Modeling Respiratory Protection Based on the Beta Distribution.
The problem of modeling respiratory protection is well known and has been dealt with extensively in the literature. Often the efficiency of respiratory protection is quantified in terms of penetration, defined as the proportion of an ambient contaminant concentration that penetrates the respiratory...
| Publicado en: | Annals of Occupational Hygiene Vol. 58; no. 7; pp. 1 - 2 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Aug2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=97422012&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 97422012 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00034878 JQ4 jtl: Annals of Occupational Hygiene issn: 00034878 maglogo: N pubinfo: dt: Aug2014 vid: 58 iid: 7 pid: 622 pub: Oxford University Press / USA artinfo: ui: 97422012 97422012 97422012 10.1093/annhyg/meu029 97422012 ppf: 1 ppct: 1 formats: fmt: @attributes: type: P tig: atl: A New Theoretical Framework for Modeling Respiratory Protection Based on the Beta Distribution. aug: au: Klausner, Ziv Fattal, Eyal affil: Applied Math Department, Israel Institute for Biological Research , PO Box 19, Ness-Ziona , 74100 Israel sug: subj: Models, Theoretical Conceptual Framework Respiratory Protective Devices Evaluation Measurement Issues and Assessments Experimental Studies Models, Statistical Parametric Statistics ab: The problem of modeling respiratory protection is well known and has been dealt with extensively in the literature. Often the efficiency of respiratory protection is quantified in terms of penetration, defined as the proportion of an ambient contaminant concentration that penetrates the respiratory protection equipment. Typically, the penetration modeling framework in the literature is based on the assumption that penetration measurements follow the lognormal distribution. However, the analysis in this study leads to the conclusion that the lognormal assumption is not always valid, making it less adequate for analyzing respiratory protection measurements. This work presents a formulation of the problem from first principles, leading to a stochastic differential equation whose solution is the probability density function of the beta distribution. The data of respiratory protection experiments were reexamined, and indeed the beta distribution was found to provide the data a better fit than the lognormal. We conclude with a suggestion for a new theoretical framework for modeling respiratory protection. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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