Abstract
In the first years of the 19th century Gauss and Legendre independently invented least-squares estimation in order to estimate planetary orbits. Based on complete confidence in Newtonian dynamics, they overcame the challenge of noisy and inconsistent astronomic observations [4]. Least-squares estimation is the paradigm of optimal estimation and system identification.
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References
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Ben-Haim, Y. (2006). Estimating an Uncertain Probability Density. In: Lawry, J., et al. Soft Methods for Integrated Uncertainty Modelling. Advances in Soft Computing, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34777-1_31
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DOI: https://doi.org/10.1007/3-540-34777-1_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34776-7
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