[PDF.87ya] Robust Rank-Based and Nonparametric Methods: Michigan, USA, April 2015: Selected, Revised, and Extended Contributions (Springer Proceedings in Mathematics & Statistics)

Robust Rank-Based and Nonparametric Methods: Michigan, USA, April 2015: Selected, Revised, and Extended Contributions (Springer Proceedings in Mathematics & Statistics)

[PDF.pb06] Robust Rank-Based and Nonparametric Methods: Michigan, USA, April 2015: Selected, Revised, and Extended Contributions (Springer Proceedings in Mathematics & Statistics)

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 | #6384478 in Books |  2016-10-22 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,.0 | File type: PDF | 277 pages

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||From the Back Cover|The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections,

The contributors to this volume include many of the distinguished researchers in this area. Many of these scholars have collaborated with Joseph McKean to develop underlying theory for these methods, obtain small sample corrections, and develop efficient algorithms for their computation. The papers cover the scope of the area, including robust nonparametric rank-based procedures through Bayesian and big data rank-based analyses.&...

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