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What is Fitting Circles and Lines by Least Squares about?

The document discusses the fitting of geometric shapes, specifically circles and lines, to observed data using least squares methods, with a focus on errors-in-variables (EIV) models. It provides a comprehensive overview of the historical context, theoretical foundations, and various algorithms for fitting these shapes in applications such as image processing, medicine, and nuclear physics. The manual serves as a detailed guide for researchers and practitioners interested in statistical methods for geometri

Author

phannguyentulinh2003.ndt

Language

EN