Huda, S. ; Mukerjee, Rahul (2010) Minimax second-order designs over cuboidal regions for the difference between two estimated responses Indian Journal of Pure & Applied Mathematics, 41 (1). pp. 303-312. ISSN 0019-5588
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Official URL: http://www.springerlink.com/content/n1785561677438...
Related URL: http://dx.doi.org/10.1007/s13226-010-0006-0
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 cuboidal regions. Use of a convexity argument and a surrogate objective function significantly reduces the computational burden.
Item Type: | Article |
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Source: | Copyright of this article belongs to Indian National Science Academy. |
Keywords: | Central Composite Design; Convexity; Surrogate Objective Function |
ID Code: | 20324 |
Deposited On: | 20 Nov 2010 14:40 |
Last Modified: | 17 May 2016 04:40 |
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