pyacs.gts.lib.gts_estimators module

pyacs.gts.lib.gts_estimators.least_square(A, L, P=None)[source]

Least squares estimation for system equation AX + L = 0, P input: A: design matrix;L observation vector L; P: weight matrix for L (P defaut is the identity matrix) output: unknown matrix : X residuals matrix: V standard deviation sigma_0: std unknown parameters variance: s_X residuals variance: s_V model S:S = A*X