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Bayesian Statistics: An Introduction

by Peter M. Lee
$10.90 Now $6.90 Save 37% more
Bayesian Statistics: An Introduction - Thryft
Bayesian Statistics: An Introduction - Thryft

Unraveling statistics through Bayesian hypothesis probabilities.

If you're grappling with the concepts of hypothesis testing and want an in-depth yet accessible dive into Bayesian statistics, this book by Peter M Lee is a worthwhile read. It's perfect for anyone in advanced undergraduate or postgraduate studies who is curious about the differences between Bayesian and classical statistics, and seeks clarity on incorporating data into statistical reasoning. Lee's approachable explanations and new chapters on trending topics like Gibbs sampling make it a relevant and insightful resource.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Sale

Bayesian Statistics: An Introduction

by Peter M. Lee
$10.90 Now $6.90 Save 37% more
ISBN: 9780852643099
Authors: Peter M. Lee
Publisher: E. Arnold
Date of Publication: 1992-01-01
Format: Paperback
Related Collections: Philosophy, Personal Development, Science
Related Topics: Mathematics, Popular Science, Theory
Goodreads rating: 0.0
(rated by 0 readers)

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Description

Statistics is concerned with investigating the degree of confidence we can have in various hypotheses. The Bayesian approach is distinguished by giving each hypothesis a probability and then modifying it in the light of the experimental data. This is controversial because for a new theory with no data available, an element of guesswork has to be involved. The author presents the ideas behind Bayesian statistics at a level suitable for advanced undergraduate or postgraduate students. The discrepancies between the conclusions of Bayesian and classical statistics are highlighted.
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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Similar Reads

Unraveling statistics through Bayesian hypothesis probabilities.

If you're grappling with the concepts of hypothesis testing and want an in-depth yet accessible dive into Bayesian statistics, this book by Peter M Lee is a worthwhile read. It's perfect for anyone in advanced undergraduate or postgraduate studies who is curious about the differences between Bayesian and classical statistics, and seeks clarity on incorporating data into statistical reasoning. Lee's approachable explanations and new chapters on trending topics like Gibbs sampling make it a relevant and insightful resource.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.