Statístics, Metrology, Measurement, Least Square Method, Normal Distribution.
θ such as φ(θ|y) = Maximum of φ(x|y) for various x, where φ(.|.) denotes a conditional probability. Assuming a non-informative prior, Gauss applied Bayesian concept to draw φ(y|θ) = maximum of φ(y|x) for various x. If we further assume that all MEs are independent of each other and are uniformly