Data Analysis: A Bayesian Tutorial - Softcover

Sivia, D. S.

Softcover

ISBN 10: 0198518897 ISBN 13: 9780198518891

Publisher: Clarendon Press, 1996

Synopsis

Statistics lectures have often been viewed with trepidation by engineering and science students taking an ancillary course in this subject. Whereas there are many texts showing `how' statistical methods are applied, until now there has been no textbook for non-statisticians providing a clear explanation of the underlying principles of data analysis. Data Analysis: A Bayesian Tutorial provides such a text, putting emphasis as much on understanding `why' and `when' certain statistical procedures should be used as `how'. This difference in approach makes the text ideal as a tutorial guide for senior undergraduates and research students, in science and engineering.

About this title

Review

" ... this book takes the mystery out of statistics by providing a clear rationale for some of the most widely-used procedures." (Zeitscrift fur Kristallographie)

From the Author

Comments received/found on my book
As planned, I did make it to my office last week, and sure enough, there was your book waiting for me on my desk. I have now had a chance to go through it lightly, and think it is great; just what has been needed. So I have put a reference to your book in my very long list of references, with a comment that it should be considered an adjunct to my work, supplying the necessary numerical and practical stuff that I cannot take time for in my own book. Congratulations! (Ed Jaynes, Wayman Crow Prof. of Physics: 9th October, 1996)

Very clearly written tutorial on the ideas behind Bayesian inference. ... I have found it especially useful for students who are new to Bayesian ideas, and very much enjoyed reading it myself. (Prof. Padhraic Smyth, Information & Computer Science, UC Irvine)

An excellent and clear description of the role of Bayes's theorem in scientific research. ... For me, your book provides crucial intermediate access to the mysteries of Bayesian inference, with necessary and sufficient background and illustrative material to introduce the field to nonspecialists. (Prof. Charles Carter, Biochemistry & Biophysics, UNC, Chapel Hill)

As an experimental particle physicist, I have found your text to be the most approachable introduction to both the fundamentals of BPT (Bayesian probability theory) and the actual mechanics of applying BPT to real experiments. (Dr. Michael Kelly, Dept. of Physics, University of Michigan)

I would first like to take the opportunity to sincerely thank you for the extraordinary clarity with which you did write your book. It is indeed rare to find books that focus on the explanation of concepts. (Dr. Ignace Lasters, Beagle bvba, Belgium)

Devinder Sivia presents a very straightforward account of Bayesian analysis. Rather than going for mathematical rigor and an axiomatic approach, he introduces concepts as they are needed to solve a sequence of increasingly complex analysis problems. Very readable and informative. (Dr. Ken Hanson, Los Alamos National Laboratory, New Mexico, USA)

Edition details

• Publisher: Clarendon Press
• Publication date: 1996
• Language: English
• ISBN 10: 0198518897
• ISBN 13: 9780198518891
• Binding: Paperback
• Number of pages: 200