Robust Rank-Based and Nonparametric Methods

Language: English

Published by Springer, Palgrave Macmillan Sep 2016, 2016

3319390635 / 9783319390635

Series: Book 174 of 464 - Springer Proceedings in Mathematics & Statistics

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch.

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Title
Robust Rank-Based and Nonparametric Methods
Author
Regina Y. Liu
Publisher
Springer, Palgrave Macmillan Sep 2016
Publication year
2016
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319390635
ISBN 13
9783319390635
Item weight
606 grams
Dimensions
241x160x22 mm
Series
Book 174 of 464: Springer Proceedings in Mathematics & Statistics

buchversandmimpf2000

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