Titlebook: Evaluation of Statistical Matching and Selected SAE Methods; Using Micro Census a Verena Puchner Book 2015 Springer Fachmedien Wiesbaden 20

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Mathematical Background,e different and not all variables in the two data sets are the same. Moreover some of the variables are observed in both surveys, some are observed in the sample survey A und some other variables are only available in the sample survey B. The idea is now to estimate the missing variables in one surv

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Evaluation of Statistical Matching and Selected SAE MethodsUsing Micro Census a

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0302-9743 erence on Artificial Intelligence, Canadian AI 2011, held in St. John’s, Canada, in May 2011. The 23 revised full papers presented together with 22 revised short papers and 5 papers from the graduate student symposium were carefully reviewed and selected from 81 submissions. The papers cover a broad

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,Die Bev?lkerungssituation in Liberia,hen Grey Wolf Optimizer second and vice versa. In order to prevent getting stuck at local minima, concept of search counter is used. Proposed approach is compared with Refined Hybrid PSO and the simulation result shows the validity of the proposed approach over the other.

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Revenue Monotonicity Under Misspecified Bidders guarantees at least as much revenue in expectation as running the optimal mechanism on the green bidders. For any feasibility constraint that is not a matroid, there exists a way of setting the specified distributions and the true distributions such that the opposite conclusion holds.