Ebook Info
- Published: 2006
- Number of pages: 364 pages
- Format: PDF
- File Size: 11.95 MB
- Authors: Frederick James
Description
The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis. This second edition contains all the important material of the first, much of it unavailable from any other sources. In addition, many chapters have been updated with considerable new material, especially in areas concerning the theory and practice of confidence intervals, including the important Feldman-Cousins method. Both frequentist and Bayesian methodologies are presented, with a strong emphasis on techniques useful to physicists and other scientists in the interpretation of experimental data and comparison with scientific theories. This is a valuable textbook for advanced graduate students in the physical sciences as well as a reference for active researchers.
User’s Reviews
Editorial Reviews: Review I highly recommend that this book be kept on every desk — CERN Courier “CERN Courier”
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐This is not a book for those who want to rapidly analyze data using formulaic methods: the notation is needlessly recondite, many errors persist in the formulae (2nd edition, equations on page 14 is where the first notable one occurs), and the explanations are sometime baroque to the point of confusion. To use the techniques presented and analyzed in later chapters, _all_ previous chapters and notations must be fully familiar to the reader. If your analysis problem is complex enough to warrant a 6-month apprenticeship in statistics and data analysis, then by all means use this book (and please report errors to the author when you find them when re-deriving the results). It is, in that sense, complete.If you just want to find a best fit curve to some data, get the Louis Lyons (
⭐,
⭐) or John Taylor (
⭐) books…
⭐This book fills an essential niche between textbook and reference. The lack of exercises and occasional terseness make it a bit unsuitable as a first textbook, and the lack of attempt to be comprehensive makes it an incomplete reference. Instead, it is the ultimate guide to the methods that one needs for doing practical data analysis, especially in high energy physics. Physicists tend to lack formal educations in statistical theory, but often need to use advanced techniques. When I encounter a statistical problem that I do not know how to handle, reading the appropriate section of this book for an hour invariably guides me toward the practical method I need and gives me enough theoretical insight to understand what I am doing and why. The book does a truly wonderful job providing practical insight while being more than a cookbook of canned statistical recipes.
⭐If you are looking for an introduction to statistical methods, then you probably won’t be satisfied with this book. However if you are familiar with basic statistics and you are looking for a concise (+ precise) reference you will probably love this book (especially for use in HEP physics, but not limited to it). I own other texts on statistics that I used to learn about new methods, but I often had to consult this book in addition to clear up possible residual confusion, since I find this one to be the most unambiguous. Saved me a lot of time in the past. I fully agree with: […]
⭐This text is dry but useful. It serves as a good introduction to how to handle the kind of statistics that you will encounter in physics and it uses physics rather than games of chance examples which makes it quite nice in that sense.
⭐A book with beautiful cover but that is all.
⭐Fantastic book
⭐Very good book. It is very complete. Can be used as a base for almost any statistical analysis in high energy physics. As a PhD student, I use it nearly every day.
⭐This relatively thin book on statistics is a comprehensive summary of the theoretical underpinning of the advanced classical data analysis methods. While the examples are coming from the field of elementary particle physics, the book can be used as a general reference. The text is more summary than an introduction, although the aim of the authors is to give a full course in statistics, because the presentation is rather dense and some explanations are opaque. The book is rather theoretical because it gives full derivations for many methods without showing how to implement them in code or at least pseudo-code.The authors cover following topics: Difference in language between statistics and physics, differences between the frequentist and Bayesian approach to statistics, basic concepts in probability, convergence in statistics, probability distributions, Fisher information and properties of a statistic, decision theory, point and interval estimation, hypothesis testing and goodness of fit tests. The chapters on point and interval estimation are quite extensive. While the focus of the book is on frequentist methods, Bayesian counterparts are also presented.Having learned basic statistics from a different source, for example from “Probability and Statistics” from DeGroot and Schervish, the present book can be used with a great benefit to deepen the understanding of some specific advanced topic.UPDATE: My new recommendation for a book on statistics for physicists is Larry Wasserman – All of statistics, which is a quite concise introduction into the filed for a mathematically minded reader with many explanations. Afterwards one can use the text of James for specific examples of physical applications.
Keywords
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Download Statistical Methods In Experimental Physics (2Nd Edition) 2nd Edition PDF
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