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Scientific Inference
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Table of Contents

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.

Promotional Information

Providing knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students.

About the Author

Simon Vaughan is a Reader in the Department of Physics and Astronomy, University of Leicester, where he has developed and runs a highly regarded course for final year physics students on the subject of statistics and data analysis.

Reviews

'... succinct and fast-paced ...' Bogdan Hoanca, Optics and Photonics News
'... provides innovative and intelligent comments and connecting elements, as well as data analysis and interpretation ... [it] extends to fundamental and known issues, which are offered from an understandable point of view.' Nikolaos E. Myridis, Contemporary Physics
"... succinct and fast-paced ..." Bogdan Hoanca, Optics and Photonics News
"... provides innovative and intelligent comments and connecting elements, as well as data analysis and interpretation ... [it] extends to fundamental and known issues, which are offered from an understandable point of view." Nikolaos E. Myridis, Contemporary Physics

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