Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. Further resources are available at www.cambridge.org/9781107607590, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.Read more
- Features several complete data analysis case studies using real data from great scientific experiments
- Boxed text contains worked examples and computer codes to help further understanding of the concepts covered in the main text
- Presents a self-contained introduction to statistical computing using the freely available R language
Reviews & endorsements
'… succinct and fast-paced …' Bogdan Hoanca, Optics and Photonics NewsSee more reviews
'… provides innovative and intelligent comments and connecting elements, as well as data analysis and interpretation … [it] extends to fundamental and known issues, which are offered from an understandable point of view.' Nikolaos E. Myridis, Contemporary Physics
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: September 2013
- format: Paperback
- isbn: 9781107607590
- length: 236 pages
- dimensions: 246 x 173 x 11 mm
- weight: 0.49kg
- contains: 63 b/w illus.
- availability: In stock
Table of Contents
1. Science and statistical data analysis
2. Statistical summaries of data
3. Simple statistical inferences
4. Probability theory
5. Random variables
6. Estimation and maximum likelihood
7. Significance tests and confidence intervals
8. Monte Carlo methods
Welcome to the resources site
Here you will find free-of-charge online materials to accompany this book. The range of materials we provide across our academic and higher education titles are an integral part of the book package whether you are a student, instructor, researcher or professional.
Find resources associated with this titleYour search for '' returned .
Type Name Unlocked * Format Size
*This title has one or more locked files and access is given only to lecturers adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.
These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.
If you are having problems accessing these resources please email firstname.lastname@example.org
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email email@example.comRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×