Scientific inference : learning from data
著者
書誌事項
Scientific inference : learning from data
Cambridge University Press, 2013
- : hardback
- : pbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- 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
- Appendixes
- References
- Index.
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