Confidence Limits for Lognormal Percentiles and for Lognormal Mean Based on Samples with Multiple Detection Limits.
The problem of assessing occupational exposure using the mean or an upper percentile of a lognormal distribution is addressed. Inferential methods for constructing an upper confidence limit for an upper percentile of a lognormal distribution and for finding confidence intervals for a lognormal mean...
| Publicado en: | Annals of Occupational Hygiene Vol. 55; no. 5; pp. 495 - 510 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Jul2011
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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=61384852&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 61384852 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00034878 JQ4 jtl: Annals of Occupational Hygiene issn: 00034878 maglogo: N pubinfo: dt: Jul2011 vid: 55 iid: 5 pid: 622 pub: Oxford University Press / USA artinfo: ui: 61384852 104647788 104647788 10.1093/annhyg/mer014 61384852 ppf: 495 ppct: 15 formats: fmt: @attributes: type: P tig: atl: Confidence Limits for Lognormal Percentiles and for Lognormal Mean Based on Samples with Multiple Detection Limits. aug: au: Krishnamoorthy, Kalimuthu Zhao Xu affil: Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA 70508-1010, USA sug: subj: Occupational Exposure Analysis Human Reactive Oxygen Species Inferential Statistics Confidence Evaluation Mathematics Methods ab: The problem of assessing occupational exposure using the mean or an upper percentile of a lognormal distribution is addressed. Inferential methods for constructing an upper confidence limit for an upper percentile of a lognormal distribution and for finding confidence intervals for a lognormal mean based on samples with multiple detection limits are proposed. The proposed methods are based on the maximum likelihood estimates. They perform well with respect to coverage probabilities as well as power and are applicable to small sample sizes. The proposed approaches are also applicable for finding confidence limits for the percentiles of a gamma distribution. Computational details and a source for the computer programs are given. An advantage of the proposed approach is the ease of computation and implementation. Illustrative examples with real data sets and a simulated data set are given. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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