Overview
- Explains Bayesian statistics using exciting real-life applications and simple tables
- Demonstrates that Bayesian statistics is merely a natural way of thinking
- Offers an accessible, non-technical approach to Bayes’ Rule
- Shows how to sort out the alternatives when a decision has to be made
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Table of contents (18 chapters)
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Front Matter
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Likelihood
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Front Matter
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Base Rate
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Front Matter
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Application
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Front Matter
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Keywords
About this book
This book presents the most important ideas behind Bayes’ Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes’ Rule to some quantitatively simple, though not trivial, examples, the book also convincingly demonstrates that some familiarity with Bayes’ Rule is helpful in thinking about how best to structure one’s thinking.
Authors and Affiliations
About the author
Alan Jessop holds degrees in Civil Engineering and Computer Science. Before his current position as MBA Director at the Business School in Durham, UK, he worked as a transport planner in local government and as a consultant. Primarily teaching MBA students, he has lectured at the University of Westminster, UK, the University of Warwick, UK and at the European Business School near Frankfurt, Germany. Jessop’s research focuses on multi-attribute decision-making and design patterns.
Bibliographic Information
Book Title: Let the Evidence Speak
Book Subtitle: Using Bayesian Thinking in Law, Medicine, Ecology and Other Areas
Authors: Alan Jessop
DOI: https://doi.org/10.1007/978-3-319-71392-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-71391-5Published: 11 June 2018
eBook ISBN: 978-3-319-71392-2Published: 31 May 2018
Edition Number: 1
Number of Pages: VI, 226
Number of Illustrations: 119 b/w illustrations, 11 illustrations in colour
Topics: Popular Science in Statistics, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Social Sciences, Humanities, Law, Quantitative Criminology, Monitoring/Environmental Analysis