This work, on the maximum entropy and Bayesian methods, is aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. This study should be of interest to senior undergraduate (2nd and 3rd year) and graduate students in physics, chemistry, and engineering. It is not aimed at statisticians.
"synopsis" may belong to another edition of this title.
" ... this book takes the mystery out of statistics by providing a clear rationale for some of the most widely-used procedures." (Zeitscrift fur Kristallographie)
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)
"About this title" may belong to another edition of this title.
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