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Binding: PaperbackEAN: 9780071199261 Edition: 3rd ISBN: 0071199268 Label: McGraw-Hill Inc.,US Manufacturer: McGraw-Hill Inc.,US Number Of Pages: 352 Publication Date: August 01, 2002 Publisher: McGraw-Hill Inc.,US Studio: McGraw-Hill Inc.,US Editorial Review: Product Description: 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. This 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++. Average Rating:
 Rating:  - Well...You can tell he isn't an English major. The material is fine. A decent reference book. Rating: - Well...You can tell he isn't an English major. The material is fine. A decent reference book. Rating: - It has its ups and downs 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. Rating: - An obscure error in a good bookBevington'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 ... Read More Rating:  - All new but just as goodThis 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 ... Read More |
