To view prices and purchase online, please login or create an account now.



A Student's Guide to Data and Error Analysis

Hardback

Main Details

Title A Student's Guide to Data and Error Analysis
Authors and Contributors      By (author) Herman J. C. Berendsen
SeriesStudent's Guides
Physical Properties
Format:Hardback
Pages:238
Dimensions(mm): Height 229,Width 152
Category/GenreProbability and statistics
Maths for scientists
Maths for engineers
ISBN/Barcode 9780521119405
ClassificationsDewey:511.43
Audience
Tertiary Education (US: College)
Professional & Vocational
Illustrations Worked examples or Exercises; 12 Tables, black and white; 47 Line drawings, black and white

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 7 April 2011
Publication Country United Kingdom

Description

All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

Author Biography

Herman Berendsen is Emeritus Professor of Physical Chemistry at the University of Groningen, the Netherlands. His research started in nuclear magnetic resonance but focused later on molecular dynamics simulations on systems of biological interest. He is one of the pioneers in this field and, with over 35,000 citations, is one of the most quoted authors in physics and chemistry. He has taught courses in molecular modeling worldwide and authored the book Simulating the Physical World (Cambridge, 2007).

Reviews

"Overall, this would be a nice text or reference to accompany a short course in statistics for undergraduate science or engineering..also useful for researchers desiring a primer or review...Recommended." - CHOICE