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On optimal allocations for estimating the surface of a random field
Authors:Thomas Müller-Gronbach  Rainer Schwabe
Institution:1. Freie Universit?t Berlin, 1. Mathematisches Institut Arnimallee 2-6, 14195, Berlin, Germany
Abstract:In general, the construction of optimal designs is apparently a difficult task for the approximation of a random field indexed by more than one dimension. Besides the rate of convergence of the minimum achievable error hardly anything is known until now. However, if there is an immanent structure present in the random field, then, taking this structure into account, improved estimates can be obtained. For this situation we present adequate designs which show, at least, a nearly optimal performance. work supported by 313/ARC/VII/93/151 of the DAAD work supported by Ku719/2-1 of the DFG
Keywords:Approximation of random fields  integrated mean squared error  reproducing kernel Hilbert space  product type  Sacks-Ylvisaker conditions  asymptotically optimal designs
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