TY  - BOOK
AU  - Vaughan,Simon
TI  - Scientific inference: learning from data 
SN  - 9781139176071 (ebook)
AV  - QA276 .V34 2013
U1  - 519.5 23
PY  - 2013///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Mathematical statistics
KW  - Textbooks
N1  - Title from publisher's bibliographic system (viewed on 05 Oct 2015); Machine generated contents note: 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
N2  - 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
UR  - https://doi.org/10.1017/CBO9781139176071
ER  -