Scientific Inference

Learning from Data

Nonfiction, Science & Nature, Science, Physics, General Physics, Mathematics
Cover of the book Scientific Inference by Simon Vaughan, Cambridge University Press
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Author: Simon Vaughan ISBN: 9781107424166
Publisher: Cambridge University Press Publication: September 19, 2013
Imprint: Cambridge University Press Language: English
Author: Simon Vaughan
ISBN: 9781107424166
Publisher: Cambridge University Press
Publication: September 19, 2013
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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