Scientific Inference: Learning from Data

Author:   Simon Vaughan (University of Leicester)
Publisher:   Cambridge University Press
ISBN:  

9781139176071


Publication Date:   05 June 2014
Format:   Undefined
Availability:   Available To Order   Availability explained
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Scientific Inference: Learning from Data


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Overview

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.

Full Product Details

Author:   Simon Vaughan (University of Leicester)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press (Virtual Publishing)
ISBN:  

9781139176071


ISBN 10:   1139176072
Publication Date:   05 June 2014
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

'... succinct and fast-paced ...' Bogdan Hoanca, Optics and Photonics News '... 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


'... succinct and fast-paced ...' Bogdan Hoanca, Optics and Photonics News


Author Information

Simon Vaughan is a Reader in the Department of Physics and Astronomy, University of Leicester, where he has developed and runs a highly regarded course for final year physics students on the subject of statistics and data analysis.

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