Rutgers University 3 credits Statistics
Least-squares methods of testing and estimation in multiple regression; geometric interpretation of least-squares; and the Gauss-Markov theorem. Confidence, prediction, and tolerance intervals in regression. Orthogonal polynomials; harmonic regression; weighted least-squares; analysis of variance; and simultaneous inference procedures (multiple comparisons). Emphasis on theory. Prerequisites: 16:960:593 and 01:640:350.
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