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Bootstrap Methods

With Applications in R

Authors: Dikta, Gerhard, Scheer, Marsel

  • Presents a concise introduction to bootstrap methods
  • Includes implementations of the algorithms in R, focusing on comprehensibility
  • Emphasizes goodness-of-fit tests
  • Provides complete proofs for those interested in theory and various applications for those interested in practice
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eBook $89.00
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  • The eBook version of this title will be available soon
  • Due: 10 de octubre de 2021
  • ISBN 978-3-030-73480-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $119.99
price for Mexico
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  • Due: 12 de septiembre de 2021
  • ISBN 978-3-030-73479-4
  • Free shipping for individuals worldwide
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  • Covid-19 shipping restrictions
About this Textbook

This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time.

The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.


About the authors

Gerhard Dikta has been a full-time professor at the Department of Medical Engineering and Technomathematics within the University of Applied Sciences, FH-Aachen, since 1993. He has also been an adjunct professor at the Department of Mathematics of the University of Wisconsin-Milwaukee since 2004. In addition to general problems in mathematical statistics, statistical modeling, simulation and optimization, his research interests and contributions are in survival analysis and, recently, in the development of statistical test methods for model verification.

Marsel Scheer has been a data scientist at Bayer AG since 2019. He was head of biostatistics and software development at Myriad International GmbH (formerly Sividon Diagnostics GmbH) for 5 years and worked as a biometrician in diabetes research at the German Diabetes Center for 6 years. His research interests are in statistical learning and modeling, machine learning, simulation and software development.


Buy this book

eBook $89.00
price for Mexico
  • The eBook version of this title will be available soon
  • Due: 10 de octubre de 2021
  • ISBN 978-3-030-73480-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $119.99
price for Mexico
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 12 de septiembre de 2021
  • ISBN 978-3-030-73479-4
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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Bibliographic Information

Bibliographic Information
Book Title
Bootstrap Methods
Book Subtitle
With Applications in R
Authors
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-73480-0
DOI
10.1007/978-3-030-73480-0
Hardcover ISBN
978-3-030-73479-4
Edition Number
1
Number of Pages
XVI, 256
Number of Illustrations
8 b/w illustrations, 28 illustrations in colour
Topics