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An Introduction to the Bootstrap

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( 67 ratings, 6 reviews)
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
An Introduction to the Bootstrap breaks down complex statistical methods by sidestepping advanced mathematics. It equips scientists, engineers, and statisticians with computational techniques essential for analysing intricate data sets.
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Format: Hardback
$35300
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for scientists, engineers, statisticians, and students wanting a practical, clear guide to bootstrap techniques without heavy mathematical barriers.

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An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall.

It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyse and understand complicated data sets.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Praised for clarity and accessibility: Reviewers commend the authors for simplifying challenging statistical concepts, making the book ideal for both students and practitioners. It's highlighted as a valuable reference for engineers seeking to understand bootstrap methods.

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Book Details

INFORMATION

ISBN: 9780412042317

Publisher: Taylor & Francis Ltd

Format: Hardback

Date Published: 15 May 1994

Country: United Kingdom

Imprint: Chapman & Hall/CRC

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Width: 152.0mm

Height: 229.0mm

Weight: 756g

Pages: 456

About the Author

Bradley Efron, Department of Statistics Stanford University and Robert J. Tibshirani, Department of Preventative Medicine and Biostatistics and Department of Statistics, University of Toronto.

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