Robust statistical procedures
Peter J. Huber (Society for Industrial and Applied Mathematics, 1996)
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| Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments in robustness has been added and the reference list has been expanded and updated from the 1977 edition. |
 Robust statistical procedures.pdf :: Unduh
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| No. Panggil : | e20448590 |
| Entri utama-Nama orang : | |
| Subjek : | |
| Penerbitan : | Philadelphia: Society for Industrial and Applied Mathematics, 1996 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | ix, 67 pages : illustration |
| Tautan: | http://portal.igpublish.com/iglibrary/search/SIAMB0000306.main.html?21 |
| Lembaga Pemilik: | |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20448590 | 02-17-292422538 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20448590 |
