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  1. 1 Sheynin O.

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C.F. Gauss and the method of least squares

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Sheynin O.
Śląski Przegląd Statystyczny
|
2014
|
issue 12(18)
9-38
EN
Gauss introduced the MLSq and Helmert completed its development whereas Bessel made important discoveries in astronomy and geodesy but was often extremely inattentive. Gauss’ final condition of least variance led to effective estimators of the unknowns sought, jointly effective in case of the normal distribution of the observational errors. Gauss’ memoire of 1823 leads to the principle of least squares much easier than generally thought.
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