Uncertainty Estimation Using Monte-Carlo Method Constrained by Correlations of the Data

Abstract:

Article Preview

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 et al., "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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.