An Introduction to Bootstrap Methods with Applications to R
Introduction to Bootstrap Methods with Applications to R by Michael R. Chernick
Book DescriptionA comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the practicality of this approach and successfully utilizes R to illustrate applications for the bootstrap and other resampling methods. This book provides a modern introduction to bootstrap methods for readers who do not have an extensive background in advanced mathematics. Emphasis throughout is on the use of bootstrap methods as an exploratory tool, including its value in variable selection and other modeling environments. The authors begin with a description of bootstrap methods and its relationship to other resampling methods, along with an overview of the wide variety of applications of the approach. Subsequent chapters offer coverage of improved confidence set estimation, estimation of error rates in discriminant analysis, and applications to a wide variety of hypothesis testing and estimation problems, including pharmaceutical, genomics, and economics. To inform readers on the limitations of the method, the book also exhibits counterexamples to the consistency of bootstrap methods. An introduction to R programming provides the needed preparation to work with the numerous exercises and applications presented throughout the book. A related website houses the book's R subroutines, and an extensive listing of references provides resources for further study. Discussing the topic at a remarkably practical and accessible level, An Introduction to Bootstrap Methods with Applications to R is an excellent book for introductory courses on bootstrap and resampling methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for practitioners working with data in engineering, medicine, and the social sciences who would like to acquire a basic understanding of bootstrap methods.
Buy Introduction to Bootstrap Methods with Applications to R book by Michael R. Chernick from Australia's Online Bookstore, Boomerang Books.
Book DetailsISBN: 9780470467046
Classification: Probability & statistics , Electronics & communications engineering
Format: Hardback (243mm x 163mm x 17mm)
Imprint: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Publisher: John Wiley and Sons Ltd
Publish Date: 2-Dec-2011
Country of Publication: United Kingdom
You might also like...
Mind on Statistics by Jessica M. Utts
Helps you develop a conceptual understanding of statistical ideas and shows you how to find meaning in data.
Schaum's Outline of Statistics by M. Spiegel
With 508 solved problems, this book includes: information on frequency distribution, elementary probability theory, elementary sampling theory, statistical decision theory, and analysis of variance; and concise explanation of all course concepts.
DSST Principles of Statistics Exam Secrets Study Guide by Mometrix Media
***Includes Practice Test Questions*** DSST Principles of Statistics Exam Secrets helps you ace the Dantes Subject Standardized Tests, without weeks and months of endless studying. Our comprehensive DSST Principles of Statistics Exam Secrets study guide i
AP Statistics Exam Secrets, Study Guide by Mometrix Media» View more books like these...
***Includes Practice Test Questions*** AP Statistics Exam Secrets helps you ace the Advanced Placement Exam, without weeks and months of endless studying. Our comprehensive AP Statistics Exam Secrets study guide is written by our exam experts, who painsta
» Have you read this book? We'd like to know what you think about it - write a review about Introduction to Bootstrap Methods with Applications to R book by Michael R. Chernick and you'll earn 50c in Boomerang Bucks loyalty dollars (you must be a member - it's free to sign up!)
Author Biography - Michael R. Chernick
MICHAEL R. CHERNICK , PhD, is Manager of Biostatistical Services at Lankenau Institute for Medical Research, where he conducts statistical design and analysis for pharmaceutical research. He has more than thirty years of experience in the application of statistical methods to such areas as medicine, energy, engineering, insurance, and pharmaceuticals. Dr. Chernick is the author of Bootstrap Methods: A Guide for Practitioners and Researchers, Second Edition and The Essentials of Biostatistics for Physicians, Nurses, and Clinicians, and the coauthor of Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, all published by Wiley. ROBERT A. LaBUDDE , PhD, is President of Least Cost Formulations, Ltd., a mathematical software development company that specializes in optimization and process control software for manufacturing companies. He has extensive experience in industry and academia and currently serves as Adjunct Associate Professor in the Department of Mathematics and Statistics at Old Dominion University.
Phone: 1300 36 33 32 (9am-5pm Mon-Fri AEST) - International: +61 2 9960 7998 - Online Form
© 2003-2014. All Rights Reserved. Eclipse Commerce Pty Ltd - ACN: 122 110 687 - ABN: 49 122 110 687
For every $20 you spend on books, you will receive $1 in Boomerang Bucks loyalty dollars. You can use your Boomerang Bucks as a credit towards a future purchase from Boomerang Books. Note that you must be a Member (free to sign up) and that conditions do apply.