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Data Reduction and Error Analysis for the Physical Sciences (with 5.25 inch disk) [Paperback]

D. Keith Robinson (Author), Philip Bevington (Author)

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Product details

Paperback: 384 pages
Publisher: McGraw Hill Higher Education; 2nd edition edition (1 Jan 1992)
Language English
ISBN-10: 0079112439
ISBN-13: 978-0079112439
Product Dimensions: 23.4 x 16.3 x 1.8 cm
Amazon Bestsellers Rank: 3,115,184 in Books (See Top 100 in Books)

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Product Description

This book is designed as a laboratory companion, student textbook or reference book for professional scientists. The text is for use in one-term numerical analysis, data and error analysis, or computer methods courses, or for laboratory use. It is for the sophomore-junior level, and calculus is a prerequisite. The new edition includes applications for PC use. The book provides an introduction to the techniques of data analysis and error reduction. Monte Carlo simulations have been added to this new edition to help students plan experiments and evaluate the statistical significance of results. A new section on cubic splines and their application to curve plotting has also been added and examples have been updated and are now written in Turbo Pascal. Problem sheets at the end of each chapter have been expanded to include exercises that range in complexity from simple statistical calculations to short projects. Computer routines are more detailed and complex, reflecting the stronger computing skills of today's students. Sample programs are provided in an appendix and on IBM diskettes to accommodate the increased complexity of the routines.

From the Publisher

Excellent reference book for students and researchers alike.
Third Edition includes expanded sets of exercises and examples giving students a better opportunity to practice and eventually helping students to master the information presented.
Accompanying the Third Edition is a website that contains complete computer programs and routines available in both Fortran and C++. The web-based computer programs will allow students and researchers to easily run routines that are described in the text.
New Appendix on Calculus! For those students who may have forgotten Calculus, those students will be able to easily refresh their skills with the new appendix on calculus. --This text refers to an alternate Paperback edition.

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First Sentence
It is a well-established fact of scientific investigation that the first time an experiment is performed the results often bear all too little resemblance to the "truth" being sought. Read the first page

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Amazon.com: 15 reviews

60 of 61 people found the following review helpful

"Updated" classic, but still vintage '92 5 Jan 1998

By A Customer - Published on Amazon.com

Format:Paperback

Robinson's second edition continues the late Bevington's tradition of clear and concise writing, making this book a priceless reference for scientists. Robinson has added discussions of modern problems such as resolving closely-spaced peaks in a spectrum. The new version also adds chapters on Monte Carlo techniques and maximum-likelihood analysis, both powerful tools for data analysis made possible by better computers.

The chapter structure has been modified considerably, so those who have grown comfortable with the first edition over the past decades may not be able to find things as easily. Other than that, most of the weaknesses are computer-related. Much has changed even since 1992.

Robinson added an appendix on graphical presentation. This sounds promising but is a pretty trivial discussion of when to use linear or logarithmic axes and the advantages of a historgram. Might be useful for a very young student, but these days playing with such things is easy in any graphing program.

Many of the computer code snippets have been removed. Most of them were only a few lines of code with lots of comment lines anyway. The codes that remain have been moved from the main text to a densely-packed appendix, which makes them more difficult to study while reading the text.

The codes themselves have been updated from old FORTRAN to a structured language, but I would have preferred C or FORTRAN 90 over the chosen PASCAL. The latter may be useful for undergraduate students, but I've never seen a PASCAL compiler in a working physics lab.

The included disk is a now-obsolete 5.25" floppy. I had to hunt for a machine that could read it and copy over to a 3.5" disc. The text claims repeatedly that the disc has both FORTRAN 77 and PASCAL routines on it, but my copy only has the PASCAL.

In the end, it's the textual content that is important, and this book is a fantastic basic discussion of data analysis and statistics for students and a great reference for the practicing scientist.

13 of 14 people found the following review helpful

Great Book 22 May 2002

By A Customer - Published on Amazon.com

Format:Paperback

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.

7 of 8 people found the following review helpful

All new but just as good 26 July 2004

By misterbeets - Published on Amazon.com

Format:Paperback

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.

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