Robust Rank Based And Nonparametric Methods

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Robust Rank Based And Nonparametric Methods
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Author : Regina Y. Liu
language : en
Publisher: Springer
Release Date : 2016-09-20
Robust Rank Based And Nonparametric Methods written by Regina Y. Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-20 with Mathematics categories.
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.
Robust Nonparametric Statistical Methods
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Author : Thomas P. Hettmansperger
language : en
Publisher: Hodder Education
Release Date : 1998
Robust Nonparametric Statistical Methods written by Thomas P. Hettmansperger and has been published by Hodder Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
Based in ranks of the data, this book offers an alternative to the traditional least squares approach. Topics include one- and two-sample location models, linear models (including multiple regression and designed experiments), and multivariate models. Rank tests and estimates for all models are developed, including bounded influence and high breakdown methods. Emphasis is on efficiency and robustness and all methods are illustrated on data sets.
Nonparametric Statistical Methods Using R
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Author : John Kloke
language : en
Publisher: CRC Press
Release Date : 2024-05-20
Nonparametric Statistical Methods Using R written by John Kloke and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-20 with Mathematics categories.
Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.” -The American Statistician This thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and trees --- have also been included in this new edition. Key Features: Covers a wide range of models including location, linear regression, ANOVA-type, mixed models for cluster correlated data, nonlinear, and GEE-type. Includes robust methods for linear model analyses, big data, time-to-event analyses, timeseries, and multivariate. Numerous examples illustrate the methods and their computation. R packages are available for computation and datasets. Contains two completely new chapters on big data and multivariate analysis. The book is suitable for advanced undergraduate and graduate students in statistics and data science, and students of other majors with a solid background in statistical methods including regression and ANOVA. It will also be of use to researchers working with nonparametric and rank-based methods in practice.
Robust And Multivariate Statistical Methods
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Author : Mengxi Yi
language : en
Publisher: Springer Nature
Release Date : 2023-04-19
Robust And Multivariate Statistical Methods written by Mengxi Yi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-19 with Mathematics categories.
This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students and practitioners who are interested in modern multivariate and robust statistics. The book is dedicated to David E. Tyler on the occasion of his pending retirement and also includes a review contribution on the popular Tyler’s shape matrix.
Multivariate Nonparametric Methods With R
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Author : Hannu Oja
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-25
Multivariate Nonparametric Methods With R written by Hannu Oja and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-25 with Mathematics categories.
This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simple one-sample multivariate location problem and proceeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is available for computation of the procedures. This monograph provides an up-to-date overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs and ranks and different type of L1 norm. The book may serve as a textbook and a general reference for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory. Hannu Oja is an academy professor and a professor in biometry in the University of Tampere. He has authored and coauthored numerous research articles in multivariate nonparametrical and robust methods as well as in biostatistics.
Nonparametric Methods In Statistics And Related Topics
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Author : Madan Lal Puri
language : en
Publisher: Walter de Gruyter
Release Date : 2013-02-06
Nonparametric Methods In Statistics And Related Topics written by Madan Lal Puri and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-06 with Mathematics categories.
No detailed description available for "Nonparametric Methods in Statistics and Related Topics".
Tietz Textbook Of Clinical Chemistry And Molecular Diagnostics E Book
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Author : Carl A. Burtis
language : en
Publisher: Elsevier Health Sciences
Release Date : 2011-12-16
Tietz Textbook Of Clinical Chemistry And Molecular Diagnostics E Book written by Carl A. Burtis and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-16 with Medical categories.
As the definitive reference for clinical chemistry, Tietz Textbook of Clinical Chemistry and Molecular Diagnostics, 5th Edition offers the most current and authoritative guidance on selecting, performing, and evaluating results of new and established laboratory tests. Up-to-date encyclopedic coverage details everything you need to know, including: analytical criteria for the medical usefulness of laboratory procedures; new approaches for establishing reference ranges; variables that affect tests and results; the impact of modern analytical tools on lab management and costs; and applications of statistical methods. In addition to updated content throughout, this two-color edition also features a new chapter on hemostasis and the latest advances in molecular diagnostics. Section on Molecular Diagnostics and Genetics contains nine expanded chapters that focus on emerging issues and techniques, written by experts in field, including Y.M. Dennis Lo, Rossa W.K. Chiu, Carl Wittwer, Noriko Kusukawa, Cindy Vnencak-Jones, Thomas Williams, Victor Weedn, Malek Kamoun, Howard Baum, Angela Caliendo, Aaron Bossler, Gwendolyn McMillin, and Kojo S.J. Elenitoba-Johnson. Highly-respected author team includes three editors who are well known in the clinical chemistry world. Reference values in the appendix give you one location for comparing and evaluating test results. NEW! Two-color design throughout highlights important features, illustrations, and content for a quick reference. NEW! Chapter on hemostasis provides you with all the information you need to accurately conduct this type of clinical testing. NEW! Six associate editors lend even more expertise and insight to the reference. NEW! Reorganized chapters ensure that only the most current information is included.
The Oxford Handbook Of Quantitative Methods Volume 1
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Author : Todd D. Little
language : en
Publisher: Oxford University Press, USA
Release Date : 2014
The Oxford Handbook Of Quantitative Methods Volume 1 written by Todd D. Little and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Psychology categories.
The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for best practices in a quantitative methods across the social, behavioral, and educational sciences.
The Oxford Handbook Of Quantitative Methods Volume 1 Foundations
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Author : Todd D. Little
language : en
Publisher: Oxford University Press
Release Date : 2013-01-15
The Oxford Handbook Of Quantitative Methods Volume 1 Foundations written by Todd D. Little and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-15 with Psychology categories.
Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1984-04
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-04 with Aeronautics categories.