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May.23 ,2008 £¨ Fri . £© 4:00-5:00 p.m. Room 214, S.S. Building
Prof. R. Mukerjee ( Indian Institute of Management Calcutta)
Minimax Second-Order Designs over Hypercubic Regions for the Difference between Two Estimated Responses
Abstract: Minimization of the variance of the difference between estimated responses at two points, maximized over all pairs of points in the factor space, is taken as the design criterion. Optimal designs under this criterion are derived, via a combination of algebraic and numerical techniques, for the full second-order regression model over hypercubic regions. Use of a convexity argument and a surrogate objective function significantly reduces the computational burden. |