Statístics, Metrology, Measurement, Least Square Method, Normal Distribution.
where x, y and e are all vectors corresponding to the measurements, the unknown parameters, and the errors, respectively, and f is a vector function. Gauss solved the problem by assuming the maximum probability in determining x with the given measurement y, which results in the best estimate of x,