skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: An Approach to Validating and Verifying Professional Judgment of Potential Occupational Exposure Risks.


Abstract not provided.

Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
Report Number(s):
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Proposed for presentation at the American Society of Safety Engineers Local Conference held April 24, 2007 in Albuquerque, NM.
Country of Publication:
United States

Citation Formats

Stiles, Linda L., and Ellis, Jack. An Approach to Validating and Verifying Professional Judgment of Potential Occupational Exposure Risks.. United States: N. p., 2007. Web.
Stiles, Linda L., & Ellis, Jack. An Approach to Validating and Verifying Professional Judgment of Potential Occupational Exposure Risks.. United States.
Stiles, Linda L., and Ellis, Jack. Sun . "An Approach to Validating and Verifying Professional Judgment of Potential Occupational Exposure Risks.". United States. doi:.
title = {An Approach to Validating and Verifying Professional Judgment of Potential Occupational Exposure Risks.},
author = {Stiles, Linda L. and Ellis, Jack},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Apr 01 00:00:00 EDT 2007},
month = {Sun Apr 01 00:00:00 EDT 2007}

Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • The Data Quality Objectives (DQO) process provides a logical planning structure for specifying the optimal sample allocation for defensible decision making, depending on acceptable levels of decision uncertainty and anticipated sampling and measurement errors. These planning inputs must be established prior to designing the data collection activity. Application of the DQO process has traditionally been performed under the framework of Classical statistical theory; elicited decision errors have been interpreted as Classical Type I and Type II errors; mean and variance constraints have been incorporated based on historical information; and, Classical statistical testing methods have been used to determine optimal samplemore » sizes. However, decision errors are usually stated, for dichotomous hypotheses, in terms of the probability of making a false positive or false negative decision; these probabilities, at best, relate loosely to probabilities of Classical Type I and Type II errors. Statements of Classical error types are couched in the language of the probability of rejection of hypotheses as opposed to the probability that a hypothesis is correct. Also, historical or archival data are often insufficient to adequately support prior judgments of means and variances. In many circumstances, however, expert knowledge and opinion is not only available, but is substantial. Finally, a paradigm that provides solutions for other than dichotomous decision problems offers greater diversity for solving real world problems.« less
  • Currently, several epidemiological studies of workers who have been exposed occupationally to radiation are being conducted. These include workers in the United States, Great Britain, and Canada, involved in the production of both defense materials and nuclear power. A major reason for conducting these studies is to evaluate possible adverse health effects that may have resulted because of the radiation exposure received. The general subject of health effects resulting from low levels of radiation, including these worker studies, has attracted the attention of various news media, and has been the subject of considerable controversy. These studies provide a good illustrationmore » of certain other aspects of the statistician's role; namely, communication and adequate subject matter knowledge. A competent technical job is not sufficient if these other aspects are not fulfilled.« less
  • Managing with the increasing complexity of large scale systems, especially real-time ones, become more and more difficult without the aid of a formal and powerful design methodology; the later must be supported by automatic tools dealing with the resulting models in order to verify and validate these models. We introduce such a package based upon Petri Nets theory by which we can ensure the correctness of the specifications before the implementation stage, mainly, concerning parallelism, synchronization, concurrency; OVIDE is an interactive graphic tool allowing different kinds of analysis: reachability set, reductions, invariants. 6 references.
  • The Idaho National Engineering and Environmental Laboratory (INEEL) has developed a new analysis tool by coupling the Fluent computational fluid dynamics (CFD) code to the RELAP5-3D{sup C}/ATHENA advanced thermal-hydraulic analysis code. This tool enables researchers to perform detailed, three-dimensional analyses using Fluent's CFD capability while the boundary conditions required by the Fluent calculation are provided by the balance-of-system model created using RELAP5-3D{sup C}/ATHENA. Both steady-state and transient calculations can be performed, using many working fluids and point to three-dimensional neutronics. A general description of the techniques used to couple the codes is given. The validation and verification (V and V)more » matrix is outlined. V and V is presently ongoing. (authors)« less
  • Human populations contact environmental pollutants through food,water, and air in varying amounts each day throughout a lifetime. A realistic strategy for managing health risks of environmental contaminants therefore requires a comprehensive and integrated approach. Using examples for exposure to contaminants in potable water and to contaminants transferred from air to food, this paper considers two important issues in exposure assessment -- the completeness of current exposure models and the treatment of uncertainty in exposure estimates. The results indicate that risk managers should consider the potential for multiple pathways, avoid risk assessments derived from single value estimates, be aware of themore » uncertainty in risk estimates, and include this awareness in their decisions.« less