Error Oblate

Abstract:

Article Preview

Error Ellipse can’t correctly depict the distribution of random variables in non-normal distribution, so this paper presents the concept, theory and methods of Error Oblate. Error Oblate is the natural extension of Error Ellipse. It is widely applicable and carries great theoretical significance in data processing.

Info:

Periodical:

Edited by:

Zhu Zhilin & Patrick Wang

Pages:

941-947

DOI:

10.4028/www.scientific.net/AMM.40-41.941

Citation:

Y. S. You et al., "Error Oblate", Applied Mechanics and Materials, Vols. 40-41, pp. 941-947, 2011

Online since:

November 2010

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Price:

$35.00

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