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000761355 019__ $$a961002656
000761355 020__ $$a9783319390659$$q(electronic book)
000761355 020__ $$a3319390651$$q(electronic book)
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000761355 1112_ $$aInternational Conference on Robust Rank-Based and Nonparametric Methods$$d(2015 :$$cKalamazoo, Michigan)
000761355 24510 $$aRobust rank-based and nonparametric methods :$$bMichigan, USA, April 2015 : selected, revised, and extended contributions /$$cRegina Y. Liu, Joseph W. McKean, editors.
000761355 264_1 $$aSwitzerland :$$bSpringer,$$c[2016]
000761355 300__ $$a1 online resource.
000761355 336__ $$atext$$btxt$$2rdacontent
000761355 337__ $$acomputer$$bc$$2rdamedia
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000761355 4901_ $$aSpringer proceedings in mathematics & statistics ;$$vvolume 168
000761355 504__ $$aIncludes bibliographical references and index.
000761355 506__ $$aAccess limited to authorized users.
000761355 520__ $$aThe 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. Includes theoretical research, novel applications of the methods, and research in computational procedures for these methods Topics span robust rank-based procedures for current models, like general linear models and cluster correlated models; robust rank-based multivariate methods, including affine invariant procedures; robust procedures for spatial analyses; and robust rank-based Bayesian procedures Includes implementation in R packages where possible.
000761355 588__ $$aOnline resource; title from PDF title page (viewed September 27, 2016).
000761355 650_0 $$aNonparametric statistics$$vCongresses.
000761355 650_0 $$aRobust optimization$$vCongresses.
000761355 650_0 $$aRobust statistics$$vCongresses.
000761355 7001_ $$aLiu, Regina Y.,$$eeditor.
000761355 7001_ $$aMcKean, Joseph W.,$$d1944-$$eeditor.
000761355 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vv. 168.
000761355 852__ $$bebk
000761355 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-39065-9$$zOnline Access$$91397441.1
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