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| Data Reduction and Error Analysis for the Physical Sciences
Paperback
Edition: 3rd
Author: Philip Bevington, D. Keith Robinson
Publisher: McGraw-Hill Science/Engineering/Math
Release Date: 2002-07-23
ISBN-10: 0072472278
ISBN-13: 9780072472271
List Price: $64.57
Average Customer Rating:
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Summaries and Customer Reviews are supplied by Amazon.com
The purpose of this book is to provide an introduction to the concepts of statistical analysis of data for students at the undergraduate and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation is developed from a practical point of view, including enough derivation to justify the results, but emphasizing methods of handling data more than theory. The text provides a variety of numerical and graphical techniques. Computer programs that support these techniques will be available on an accompanying website in both Fortran and C++.
It has its ups and downs
| Customer Rating:  | | As far as a book that gears you to applying statistics to the lab it does the job adequately. As far as explaining the theory of probability and statistics in a coherent way it leaves much to be desired. If I were a lab instructor I would probably use the book "Introduction to Probability and Statistics" by Milton and Arnold and just lecture on propagation of errors and the likewise. |
An obscure error in a good book
| Customer Rating: | Bevington's book "Data Reduction and Error Analysis" is an old war-horse that is now in its third edition, and looks a good intermediate-level, practical reference to have on the shelf. I bought my copy only recently to follow up a reference, so am less familiar with it than I'd like to be before writing a review.
Unfortunately, following that reference led me to equation 4.22, which is wrong. When forming a weighted average of variances, one needs to square the weights in the numerator and square the sum of weights in the denominator. The equation as given has the first power of the weights and of the sum, just as found in the weighted mean. As I sort the matter out myself (with help from a friendly statistician) and look around at other treatments, this appears to be a common mistake, but mistake it is.
Otherwise, it seems a good book clearly written.
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All new but just as good
| Customer Rating: | | This book seems to have been completely rewritten by the new author, only keeping the outline of the original, and it's for the better. The writing is as careful as the original, and as economical, so you have to master the early chapters or the rest is hopeless, as things start off slowly but quickly become difficult. It begins by considering the error in a single measurement, and proceeds to estimating errors derived from curve fitting. A few nuclear decay experiments provide examples throughout, and the author insists on calculating many quantities manually, even though in practice it would never be done that way. Some background topics like matrix algebra appear in the appendix too. |
misprint and misleading!!
| Customer Rating: | | There are lots of misleading in Ch. 3. - Specific error formulas. See the original Bevington's 1st ed., and compare the formulas. I think this misleading should be corrected. Standard deviation is ALWAYS positive!!.. |
Great Book
| Customer Rating: | | I make measurements frequently and this book is great for providing the background to analyze your data. I took undergraduate level statistics and it never really gave the practical applied background in how to analyze data. It merely presented concepts and presumed you knew how and why to apply them. This book is very good at helping you to understand the how and why. I have read a number of other statistics book in search of the practical applied information provided in this book and did not find it in the other books. The writing is clear and consice. There is enough background provided for even those unexposed to statistics. I have not tried the software. Most of the formulas are easy to apply and can be implemented in simple programs or spreadsheets in very little time. In short, I recommend this book to anyone making measurements of any kind. |
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