Eva Benkova, Radoslav Harman, Werner Müller,
"Privacy sets for constrained space-filling"
, in Journal of Statistical Planning and Inference, Vol. 171, Seite(n) 1-9, 2016, ISSN: 0378-3758
Original Titel:
Privacy sets for constrained space-filling
Sprache des Titels:
Englisch
Original Kurzfassung:
Utilizing a typology for space filling into what we call ? soft? and ? hard? methods, we introduce the central notion of ? privacy sets? for dealing with the latter. This notion provides a unifying framework for standard designs without replication, Latin hypercube designs, and Bridge designs, among many others. We introduce a heuristic algorithm based on privacy sets and compare its performance on some well-known examples. For instance, we demonstrate that for the computation of Bridge designs this algorithm performs significantly better than the state-of-the-art method. Moreover, the application of privacy sets is not restricted to cuboid design spaces and promises improvements for many other situations.
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