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Title: Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results

Abstract

In two previous investigations that a redocumented in this IAEA report series, we examined the effects of non-Gaussian, non-symmetric probability density functions (PDFs) on the outcomes of data evaluations. Most of this earlier work involved considering just two independent input data values and their respective uncertainties.

Authors:
 [1];  [2];  [3]
  1. Argonne National Lab. (ANL), Argonne, IL (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  3. International Atomic Energy Agency, Vienna (Austria)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1434430
Report Number(s):
LA-UR-18-23185
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Smith, Donald L., Neudecker, Denise, and Capote Noy, Roberto. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. United States: N. p., 2018. Web. doi:10.2172/1434430.
Smith, Donald L., Neudecker, Denise, & Capote Noy, Roberto. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. United States. doi:10.2172/1434430.
Smith, Donald L., Neudecker, Denise, and Capote Noy, Roberto. Fri . "Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results". United States. doi:10.2172/1434430. https://www.osti.gov/servlets/purl/1434430.
@article{osti_1434430,
title = {Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results},
author = {Smith, Donald L. and Neudecker, Denise and Capote Noy, Roberto},
abstractNote = {In two previous investigations that a redocumented in this IAEA report series, we examined the effects of non-Gaussian, non-symmetric probability density functions (PDFs) on the outcomes of data evaluations. Most of this earlier work involved considering just two independent input data values and their respective uncertainties.},
doi = {10.2172/1434430},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Apr 13 00:00:00 EDT 2018},
month = {Fri Apr 13 00:00:00 EDT 2018}
}

Technical Report:

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