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Can a boy-hungry Jersey girl survive the wilds of Canada with her eco-identity intact?
Abby McDonald is a recent graduate of Oxford University. She currently lives in Montreal, Canada.
Joey Jones dreams of making the school football team in The Booming Boots of Joey Jones. He is a one man disaster on the pitch. He has enormous feet and no proper boots. But in the end, Joey and his big boots are the team's only hope...TreeTops Fiction contains a wide range of quality stories enabling children to explore and develop their own reading tastes and interests. It contains stories from a variety of genres including humour, sci-fi, adventure, mystery and historical fiction. These exciting stories are ideal for introducing children to a wide selection of authors and illustrators. There is huge variety to ensure every reader finds books they will enjoy and can read. Books contain inside cover notes to support children in their reading. Help with children's reading development also available at www.oxfordowl.co.uk. The books are finely levelled, making it easy to match every child to the right book.
A 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.
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