Paper Title:
Uncertainty Estimation Using Monte-Carlo Method Constrained by Correlations of the Data
  Abstract

Simple and easy uncertainty estimation method is proposed. Provided that specification or simple experimental result is available, possible variance and covariance in error are estimated and Monte-Carlo simulation reflecting constraint caused by the covariance can be performed. Comparison between uncertainties obtained by the proposed method and that by actual measurements on real CMM shows good agreement within 1 m µ over-estimation.

  Info
Periodical
Key Engineering Materials (Volumes 381-382)
Edited by
Wei Gao, Yasuhiro Takaya, Yongsheng Gao and Michael Krystek
Pages
587-590
DOI
10.4028/www.scientific.net/KEM.381-382.587
Citation
M. Nara, M. Abbe, K. Takamasu, "Uncertainty Estimation Using Monte-Carlo Method Constrained by Correlations of the Data ", Key Engineering Materials, Vols. 381-382, pp. 587-590, 2008
Online since
June 2008
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Price
$32.00
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