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Additional resources for mODa 6 — Advances in Model-Oriented Design and Analysis: Proceedings of the 6th International Workshop on Model-Oriented Design and Analysis held in Puchberg/Schneeberg, Austria, June 25–29, 2001

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Because of this dependence on the parameter values of the semivariance , the optimal design is a so-called 'locally' optimal design. 3 Case study In this paper we make use of a case study introduced by Cressie et al (1990). A. S. sites (BF = {Sl, ... ,S19}). There are 11 potential sites (B p = {S20, ••• , S30}) available for enlarging the monitoring network with one or more sites. The optimal selection of q out of Q = 11 sites results in a combinatorial optimization problem, which can be solved by full enumeration with a branch-and-bound algorithm (see Rasch et ai, 1997).

1) only terms of Est not involving Xd+l. For statistical inference we need a design, a model, and observations. In a classical screening setup a model is chosen first. , 1999). 1}. 1}. This suggests partitioning Est, or equivalently L, in three disjoint parts where L; includes all the elements of LV,T that do not involve Xd+t. L Zd +1 includes all the monomials in Estv,T which involve only Xd+l and LZ,Zd+l includes the remaining terms. 1} can be chosen to be a subset of L;. The combination of the choice of the term ordering and of the structure of the design determines these three parts.

Optimal designs for variogranl estimation. T. J. (1997). Replicationfree optimal design in regression analysis. , 12, 19-52 Russo, D. (1984). Design of an optimal sampling network for estimating the variogram. L. E. (1991). A network design criterion for estimating selected attributes of the semivariogram. Environmetrics, 2, 425-441 A-optimal Chemical Balance Weighing Designs with Diagonal Covariance Matrix of Errors B. Ceranka K. Katulska ABSTRACT: The paper deals with the problem of estimating the weights of objects using an A-optimal chemical balance weighing design with the covariance matrix of errors q 2 G, where G is an n x n known positive definite diagonal matrix.

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