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Robust Rank-Based and Nonparametric Methods

Name: Robust Rank-Based and Nonparametric Methods
Brand: Springer International Publishing AG
SKU: 02986423
Price: 60911 HUF
Availability: InStock
Author: Regina Liu
ISBN: 9783319390635

Michigan, USA, April 2015: Selected, Revised, and Extended Contributions

Regina Liu

Joseph W. McKean

Language

English

Book Hardback

Libristo code: 02986423

Publishers Springer International Publishing AG, September 2016

§The contributors to this volume include many of the distinguished researchers in this area. Many of... Full description

Libristo code: 02986423

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§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. Areas of application include biostatistics and spatial areas. Over the last 30 years, robust rank-based and nonparametric methods have developed considerably. These procedures generalize traditional Wilcoxon-type methods for one- and two-sample location problems. Research into these procedures has culminated in complete analyses for many of the models used in practice including linear, generalized linear, mixed, and nonlinear models. Settings are both multivariate and univariate. With the development of R packages in these areas, computation of these procedures is easily shared with readers and implemented. This book is developed from the International Conference on Robust Rank-Based and Nonparametric Methods, held at Western Michigan University in April 2015.§§