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9%OFFSimon Vaughan - Scientific Inference: Learning from Data - 9781107607590 - V9781107607590
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Scientific Inference: Learning from Data

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Description for Scientific Inference: Learning from Data paperback. Providing knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students. Num Pages: 236 pages, 63 b/w illus. BIC Classification: PDN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 244 x 175 x 13. Weight in Grams: 488.
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 ... Read more

Product Details

Publisher
Cambridge University Press
Number of pages
236
Format
Paperback
Publication date
2013
Condition
New
Number of Pages
236
Place of Publication
Cambridge, United Kingdom
ISBN
9781107607590
SKU
V9781107607590
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-20

About Simon Vaughan
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.

Reviews for Scientific Inference: Learning from Data
'… 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

Goodreads reviews for Scientific Inference: Learning from Data


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