Measurement Science - Assignment 6

Measurement Science - Assignment 6 - SUR 3520 Measurement...

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SUR 3520: Measurement Science Spring 2007 – Section 4218 Assignment No. 6 Due Date: March 5, 2007 Student UFID: 62441221 Student Name: Shane Christy 6.1 Least-Squares is a technique for solving over-determined non-linear system of equations (a) true (b) false JUSTIFICATION: 6.2 The Least-Squares estimator is the maximum likelihood estimator for normally (Gaussian) distributed random variables (a) true (b) false JUSTIFICATION: 6.3 Stochastic modeling is implicitly created in the case of equally weighted observations (a) true (b) false JUSTIFICATION: 6.4 Iterations are required in the linear and extended (non-linear) Least-Squares cases (a) true (b) false JUSTIFICATION: 6.5 In the extended Least-Squares case, the values of the terms of the mis-closure vector increases as the parameters converges to the final solution (a) true (b) false JUSTIFICATION: 6.6 The normal matrix of the Least-Squares normal equations is always symmetric (a) true (b) false JUSTIFICATION: 6.7 Calculate the most probable values for A and B in the equations below by the method
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