Statistical Thinking from Scratch: A Primer for Scientists

ISBN-13: 9780198827634
ISBN-10: 0198827636
Edition: Illustrated
Author: Edge, M. D.
Publication date: 2019
Publisher: Oxford University Press
Format: Paperback 320 pages
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Book details

ISBN-13: 9780198827634
ISBN-10: 0198827636
Edition: Illustrated
Author: Edge, M. D.
Publication date: 2019
Publisher: Oxford University Press
Format: Paperback 320 pages

Summary

Acknowledged authors Edge, M. D. wrote Statistical Thinking from Scratch: A Primer for Scientists comprising 320 pages back in 2019. Textbook and eTextbook are published under ISBN 0198827636 and 9780198827634. Since then Statistical Thinking from Scratch: A Primer for Scientists textbook was available to sell back to BooksRun online for the top buyback price of $ 2.72 or rent at the marketplace.

Description

Researchers across the natural and social sciences find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires more than the rote application of formulaic statistical methods. The premise of Statistical Thinking from Scratch is that students who want to become confident data analysts are better served by a deep introduction to a single statistical method than by a cursory overview of many methods.

In particular, this book focuses on simple linear regression-a method with close connections to the most important tools in applied statistics-using it as a detailed case study for teaching resampling-based, likelihood-based, and Bayesian approaches to statistical inference. Considering simple linear regression in depth imparts an idea of how statistical procedures are designed, a flavour for the philosophical positions one assumes when applying statistics, and tools to probe the strengths of one's statistical approach. Key to the book's novel approach is its mathematical level, which is gentler than most texts for statisticians but more rigorous than most introductory texts for non-statisticians.

Statistical Thinking from Scratch is suitable for senior undergraduate and beginning graduate students, professional researchers, and practitioners seeking to improve their understanding of statistical methods across the natural and social sciences, medicine, psychology, public health, business, and other fields.

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