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An Introduction to the Bootstrap by Bradley Efron, R.J. Tibshirani, ISBN-13: 978-0412042317
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"An Introduction to the Bootstrap" by Bradley Efron and R.J. Tibshirani is a comprehensive guide to the bootstrap method, a powerful statistical technique for estimating the distribution of a sample statistic by resampling with replacement from the data. The book presents the theoretical foundations of the bootstrap, discusses its practical applications in various statistical contexts, and includes numerous examples to illustrate the method's effectiveness. Efron and Tibshirani emphasize the advantages of the bootstrap over traditional statistical approaches, making it accessible to both statisticians and researchers in related fields. Through clear explanations and illustrative graphics, the authors provide a solid foundation for understanding and applying this innovative resampling technique.
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Title: An Introduction to the Bootstrap
Authors: Bradley Efron, R.J. Tibshirani
ISBN-13: 978-0412042317
Publisher: Chapman and Hall/CRC
Publication Year: 1993
Number of Pages: 456
Language: English
Subject: Statistics, Resampling Methods
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"An Introduction to the Bootstrap" by Bradley Efron and R.J. Tibshirani provides a comprehensive exploration of the bootstrap methodology, offering both theoretical insights and practical applications. The authors expertly illustrate how bootstrapping can be employed to assess the accuracy of statistics, enabling readers to tackle complex problems in statistical inference. With clear explanations, illustrative examples, and a strong emphasis on the utility of bootstrap techniques across various fields, this book serves as an essential resource for statisticians and researchers alike, solidifying the bootstrap's role as a fundamental tool in modern statistical analysis.
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