COMPARISON OF THE SIGMA(I) I AND LEAST-SQUARES METHODS FOR INTEGRATION OF BRAGG-REFLECTIONS/

It is shown that peak integration by the sigma(I)/I method is equivale nt to a least-squares method that uses a weight matrix W not equal V-y (-1), where V-y is the variance-covariance matrix of the observations. By the Gauss-Markov theorem, this gives variances for the estimated p arameters that are greater, but in practice only slightly greater, tha n those obtained from an ideally weighted least-squares method.