Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Using objective and subjective information to develop distributions for probabilistic exposure assessment

A C Taylor1

  • 1Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts 02115.

Journal of Exposure Analysis and Environmental Epidemiology
|July 1, 1993
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Evaluation of Recyclable Multilayer Packaging Designs Utilising Controlled Interlayer Adhesion.

Experimental mechanics·2025
Same author

Dynamic Fracture Resistance under Plane Strain Conditions of High-Density Polyethylene Nanoclay Composites.

Polymers·2023
Same author

Measurement of <math></math> production with the hadronically decaying boson reconstructed as one or two jets in <i>pp</i> collisions at <math> </math> with ATLAS, and constraints on anomalous gauge couplings.

The European physical journal. C, Particles and fields·2020
Same author

Study of <math></math> and <math></math> production in <math></math> collisions at <math> </math> and search for anomalous quartic gauge couplings with the ATLAS experiment.

The European physical journal. C, Particles and fields·2020
Same author

Identification and rejection of pile-up jets at high pseudorapidity with the ATLAS detector.

The European physical journal. C, Particles and fields·2020
Same author

Measurement of detector-corrected observables sensitive to the anomalous production of events with jets and large missing transverse momentum in <math></math> collisions at <math> </math>  TeV using the ATLAS detector.

The European physical journal. C, Particles and fields·2020

Developing credible input distributions for exposure models is crucial. This study explores statistical and subjective methods for creating these distributions, impacting model interpretation and applicability.

Area of Science:

  • Environmental Science
  • Risk Assessment
  • Computational Modeling

Background:

  • Complex exposure models benefit from simulation software, but representing input variability and uncertainty remains challenging.
  • The U.S. Environmental Protection Agency (EPA) accepts Monte Carlo simulations for exposure assessment if input distributions are empirically supported.
  • Empirical data for all exposure model inputs may not always be available, necessitating subjective judgments.

Purpose of the Study:

  • To explore statistical and subjective approaches for developing input distributions in exposure models.
  • To analyze the impact of different distribution development approaches on model output interpretation and applicability.

Main Methods:

  • Investigated the application of both statistical and subjective methods for creating probability distributions for exposure model inputs.

Related Experiment Videos

  • Considered the consequences of chosen distribution development approaches on the resulting model outputs.
  • Main Results:

    • The choice between statistical and subjective methods for developing exposure model input distributions significantly influences the interpretation and applicability of the results.
    • Credible input distributions are essential for valid exposure assessments using simulation software.

    Conclusions:

    • Both statistical and subjective approaches can be used to develop distributions for exposure model inputs.
    • Careful consideration of the method used to develop input distributions is necessary to ensure the reliability and utility of exposure assessment models.