Scientific Inference Learning from Data Vaughan Hardback 9781107024823
Scientific Inference Learning from Data Vaughan Hardback 9781107024823

Scientific Inference Learning from Data Vaughan Hardback 9781107024823

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Scientific InferenceLearning from Data\nAuthor(s): Simon Vaughan\nFormat: Hardback\nPublisher: Cambridge University Press, United Kingdom\nImprint: Cambridge University Press\nISBN-13: 9781107024823, 978-1107024823\nSynopsis\nProviding 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 [url] including data f.

Scientific Inference Learning from Data Vaughan Hardback 9781107024823

Scientific InferenceLearning from Data\nAuthor(s): Simon Vaughan\nFormat: Hardback\nPublisher: Cambridge University Press, United Kingdom\nImprint: Cambridge University Press\nISBN-13: 9781107024823, 978-1107024823\nSynopsis\nProviding 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 [url] including data f.

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