Vaughan S. Scientific Inference: Learning From Data

Cambridge: Cambridge University Press, 2013. — 239 p.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, including data files for the case studies so students can practise analysing data, and exercises to test students' understanding.For the student
For the instructor
Science and statistical data analysis
Statistical summaries of data
Simple statistical inferences
Probability theory
Random variables
Estimation and maximum likelihood
Significance tests and confidence intervals
Monte Carlo methods
Getting started with statistical computation
Data case studies
Combinations and permutations
More on confidence intervalsNotation