The method of least squares
G. Cowan · 1998
Abstract In many situations a measured value y can be regarded as a Gaussian random variable centered about the quantity’s true value, λ This follows from the central limit theorem as long as the total error (i.e. deviation from the true value) is the sum of a large number of small contributions.