Numerical experiments on order statistics method based on Wilks' formula for best-estimate plus uncertainty methodology-Reference-Cited by-同舟云学术

Numerical experiments on order statistics method based on Wilks' formula for best-estimate plus uncertainty methodology

Published:2019-04 Issue: Volume:235 Page:28-33
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Han Seola,Kim Taewan^ORCID

Funder

National Research Foundation of Korea

MSIT: Ministry of Science and ICT

Incheon National University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference17 articles.

1. Sample Size Determination for a Nonparametric Upper Tolerance Limit for Any Order Statistic;Beal,2012

2. Interpolated nonparametric prediction intervals and confidence interval;Beran;J. R. Stat. Soc.,1993

3. Uncertainty and sensitivity analysis of the LOFT L2-5 test: results of the BEMUSE programme;de Crécy;Nucl. Eng. Des.,2008

4. Uncertainty Evaluation of Thermal-Hydraulic Code Results. International Meeting on Best Estimate Methods in Nuclear Installation Safety Analysis;Glaeser,2000

5. Statistical aspects of best estimate method-I;Guba;Reliab. Eng. Syst. Saf.,2003

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