Statistical analysis of asbestos fibre counts

Gary W. Oehlert; Richard J. Lee; Drew Van Orden

doi:10.1002/env.3170060203

Statistical analysis of asbestos fibre counts

Gary W. Oehlert, Richard J. Lee, Drew Van Orden

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

We present methods for estimating asbestos fibre concentrations based on the negative binomial distribution for fibre counts. This distribution is preferred to the usual Poisson due to the extra variability encountered in the data. We extend the method to include estimation of the parameters of a log‐normal population of concentrations, and deal with the problem of zero counts. We illustrate the methods on a set of 921 fibre counts from 177 school buildings.

Original language	English (US)
Pages (from-to)	115-126
Number of pages	12
Journal	Environmetrics
Volume	6
Issue number	2
DOIs	https://doi.org/10.1002/env.3170060203
State	Published - 1995
Externally published	Yes

Keywords

EM algorithm
asbestos
maximum likelihood
negative binomial
zero counts

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/env.3170060203

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title = "Statistical analysis of asbestos fibre counts",

abstract = "We present methods for estimating asbestos fibre concentrations based on the negative binomial distribution for fibre counts. This distribution is preferred to the usual Poisson due to the extra variability encountered in the data. We extend the method to include estimation of the parameters of a log‐normal population of concentrations, and deal with the problem of zero counts. We illustrate the methods on a set of 921 fibre counts from 177 school buildings.",

keywords = "EM algorithm, asbestos, maximum likelihood, negative binomial, zero counts",

author = "Oehlert, {Gary W.} and Lee, {Richard J.} and {Van Orden}, Drew",

year = "1995",

doi = "10.1002/env.3170060203",

language = "English (US)",

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journal = "Environmetrics",

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AU - Oehlert, Gary W.

AU - Lee, Richard J.

AU - Van Orden, Drew

PY - 1995

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AB - We present methods for estimating asbestos fibre concentrations based on the negative binomial distribution for fibre counts. This distribution is preferred to the usual Poisson due to the extra variability encountered in the data. We extend the method to include estimation of the parameters of a log‐normal population of concentrations, and deal with the problem of zero counts. We illustrate the methods on a set of 921 fibre counts from 177 school buildings.

KW - EM algorithm

KW - asbestos

KW - maximum likelihood

KW - negative binomial

KW - zero counts

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Statistical analysis of asbestos fibre counts

Abstract

Keywords

UN SDGs

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