Paper Title:
Error Oblate
  Abstract

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, Y. H. Gao, Y. Y. Chen, X. J. Deng, "Error Oblate", Applied Mechanics and Materials, Vols. 40-41, pp. 941-947, 2011
Online since
November 2010
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