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Robust statistical procedures

Peter J. Huber (Society for Industrial and Applied Mathematics, 1996)

 Abstrak

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.

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 Metadata

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:
Lokasi:
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e20448590 02-17-292422538 TERSEDIA
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