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https://hdl.handle.net/20.500.14279/18364| Τίτλος: | The Concept of Majorization in Experimental Design | Συγγραφείς: | Pericleous, Katerina Kounias, Stratis |
Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Λέξεις-κλειδιά: | φ-Optimality;Discrete;Information function;Universal optimality | Ημερομηνία Έκδοσης: | 30-Ιου-2012 | Πηγή: | Communications in Statistics - Theory and Methods, 2012, vol. 41, no. 16-17, pp. 2836-2850 | Volume: | 41 | Issue: | 16-17 | Start page: | 2836 | End page: | 2850 | Περιοδικό: | Communications in Statistics - Theory and Methods | Περίληψη: | Row and column designs are examined and the concept of majorization is applied to find optimal designs,when the observations are either independent or dependent. The dependence follows a first-order autoregression with parameter α. The case of two treatments is examined and the universally optimal or φ-optimal designs are given, for different values of a, when the number of experimental units is even or odd. A filtering procedure is followed to reduce the number of competing designs. Copyright © Taylor & Francis Group, LLC. | ISSN: | 1532415X | DOI: | 10.1080/03610926.2011.607533 | Rights: | © Informa | Type: | Article | Affiliation: | National Technical University Of Athens National and Kapodistrian University of Athens |
Publication Type: | Peer Reviewed |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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