A Comparison of Two Statistical Approaches to Estimate Long‐Term Exposure Distributions from Short‐Term Measurements

Wout Slob

Risk Analysis, 1996, vol. 16, issue 2, 195-200

Abstract: Two statistical approaches are briefly reviewed, both of which are suitable for estimating interindividual variation in long‐term exposure: a recently published regression approach and the standard ANOVA approach. Simulation studies illustrate the performances of the two approaches in estimating the relevant parameters. Their relative advantages and applicability are discussed. It is concluded that when repeated exposure measurements from the same individuals are available, ANOVA is preferable. The regression approach however has its place because it can be applied to certain data types where ANOVA does not apply.

Date: 1996
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https://doi.org/10.1111/j.1539-6924.1996.tb01449.x

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Persistent link: https://EconPapers.repec.org/RePEc:wly:riskan:v:16:y:1996:i:2:p:195-200

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