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Title: Evaluation of Wilks’ One-sided Non-parametric Formula Against Analytical Parametric Methods

Abstract

This paper will be presented to the "Sensitivity and Uncertainty Methods" subgroup of the "Mathematics and Computation Division" of the ANS Winter Symposium. Direct comparisons are made via simulation between the Wilks' non-parametric and Gaussian (parametric) methods which are applied in the SASQUATCH and SINDA-SAMPLE thermal-hydraulic codes, respectively, for the Advanced Test Reactor safety basis. The level of relative conservatism is quantified for the Wilks method and shown to be greater than the parametric method for an equivalent probability and confidence level.

Authors:
 [1];  [1]
  1. Idaho National Laboratory
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE)
OSTI Identifier:
1462375
Report Number(s):
INL/CON-17-41912
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: 2017 ANS Winter Meeting and Nuclear Technology Expo, Washington, DC, 10/29/2017 - 11/2/2017
Country of Publication:
United States
Language:
English
Subject:
95/95; Advanced Test Reactor (ATR); best estimate plus uncertainty; confidence; criteria; gaussian distribution; method; non-parametric; order statistics; percentile; probability; sample variance; SASQUATCH; SINDA-SAMPLE; statistical; thermal hydraulics; Wilks

Citation Formats

Hallee, Brian Todd, and Metzroth, Kyle Gardner. Evaluation of Wilks’ One-sided Non-parametric Formula Against Analytical Parametric Methods. United States: N. p., 2017. Web.
Hallee, Brian Todd, & Metzroth, Kyle Gardner. Evaluation of Wilks’ One-sided Non-parametric Formula Against Analytical Parametric Methods. United States.
Hallee, Brian Todd, and Metzroth, Kyle Gardner. Sun . "Evaluation of Wilks’ One-sided Non-parametric Formula Against Analytical Parametric Methods". United States. https://www.osti.gov/servlets/purl/1462375.
@article{osti_1462375,
title = {Evaluation of Wilks’ One-sided Non-parametric Formula Against Analytical Parametric Methods},
author = {Hallee, Brian Todd and Metzroth, Kyle Gardner},
abstractNote = {This paper will be presented to the "Sensitivity and Uncertainty Methods" subgroup of the "Mathematics and Computation Division" of the ANS Winter Symposium. Direct comparisons are made via simulation between the Wilks' non-parametric and Gaussian (parametric) methods which are applied in the SASQUATCH and SINDA-SAMPLE thermal-hydraulic codes, respectively, for the Advanced Test Reactor safety basis. The level of relative conservatism is quantified for the Wilks method and shown to be greater than the parametric method for an equivalent probability and confidence level.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {10}
}

Conference:
Other availability
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