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