Optimal design of experiments
Friedrich Pukelsheim (Society for Industrial and Applied Mathematics, 2006)
|
Optimal Design of Experiments offers a rare blend of linear algebra, convex analysis, and statistics. The optimal design for statistical experiments is first formulated as a concave matrix optimization problem. Using tools from convex analysis, the problem is solved generally for a wide class of optimality criteria such as D-, A-, or E-optimality. The book then offers a complementary approach that calls for the study of the symmetry properties of the design problem, exploiting such notions as matrix majorization and the Kiefer information matrix ordering. The results are illustrated with optimal designs for polynomial fit models, Bayes designs, balanced incomplete block designs, exchangeable designs on the cube, rotatable designs on the sphere, and many other examples. |
![]()
|
No. Panggil : | e20448053 |
Entri utama-Nama orang : | |
Subjek : | |
Penerbitan : | Philadelphia: Society for Industrial and Applied Mathematics, 2006 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resources |
Deskripsi Fisik: | xxix, 454 pages : illustration |
Tautan: | http://portal.igpublish.com/iglibrary/search/SIAMB0000112.main.html?35 |
Lembaga Pemilik: | |
Lokasi: |
No. Panggil | No. Barkod | Ketersediaan |
---|---|---|
e20448053 | 02-17-766881828 | TERSEDIA |
Ulasan: |
Tidak ada ulasan pada koleksi ini: 20448053 |