Robust Rank-Based and Nonparametric Methods: Michigan, USA, April 2015: Selected, Revised, and Extended Contributions - Springer Proceedings in Mathematics & Statistics - - Books - Springer International Publishing AG - 9783319390635 - September 21, 2016
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Robust Rank-Based and Nonparametric Methods: Michigan, USA, April 2015: Selected, Revised, and Extended Contributions - Springer Proceedings in Mathematics & Statistics 1st ed. 2016 edition

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Robust Rank-Based and Nonparametric Methods: Michigan, USA, April 2015: Selected, Revised, and Extended Contributions - Springer Proceedings in Mathematics & Statistics 1st ed. 2016 edition

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.

287 pages, 25 black & white illustrations, 6 colour illustrations, 30 colour tables, biography

Media Books     Hardcover Book   (Book with hard spine and cover)
Released September 21, 2016
ISBN13 9783319390635
Publishers Springer International Publishing AG
Pages 277
Dimensions 155 × 235 × 18 mm   ·   585 g
Language German  
Editor Liu, Regina Y.
Editor McKean, Joseph W.