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Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (Dimacs Series in Discrete Mathematics and Theoretical Computer Science)

Regina Y. Liu, Robert Serfling, and Diane L. Souvaine




[PDF.ek92] Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (Dimacs Series in Discrete Mathematics and Theoretical Computer Science)

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 | #4775256 in Books |  2006-11-21 |  2006-11-21 | Original language:English |  10.00 x7.00 x.75l,1.30 | File type: PDF | 246 pages

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The book is a collection of some of the research presented at the workshop of the same name held in May 2003 at Rutgers University. The workshop brought together researchers from two different communities: statisticians and specialists in computational geometry. The main idea unifying these two research areas turned out to be the notion of data depth, which is an important notion both in statistics and in the study of efficiency of algorithms used in computational geomet...

You easily download any file type for your device.Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (Dimacs Series in Discrete Mathematics and Theoretical Computer Science)   |  Regina Y. Liu, Robert Serfling, and Diane L. Souvaine.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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