Adrian Bevan

Statistical Data Analysis for the Physical Sciences (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for undergraduates in physics. It introduces the necessary tools required to analyse data from experiments across a range of areas, making it a valuable resource for students. In addition to covering the basic topics, the book also takes in advanced and modern subjects, such as neural networks, decision trees, fitting techniques and issues concerning limit or interval setting. Worked examples and case studies illustrate the techniques presented, and end-of-chapter exercises help test the reader's understanding of the material.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 9. Mai 2013
• Englisch
• ISBN-13: 9781107065338
• Artikelnr.: 39047188

Autorenporträt

Adrian Bevan is a Reader in Particle Physics in the School of Physics and Astronomy, Queen Mary, University of London. He is an expert in quark flavour physics and has been analysing experimental data for over 15 years.

Inhaltsangabe

Preface
1. Introduction
2. Sets
3. Probability
4. Visualising and quantifying the properties of data
5. Useful distributions
6. Uncertainty and errors
7. Confidence intervals
8. Hypothesis testing
9. Fitting
10. Multivariate analysis
Appendixes
References
Index.

---

Preface; 1. Introduction; 2. Sets; 3. Probability; 4. Visualising and quantifying the properties of data; 5. Useful distributions; 6. Uncertainty and errors; 7. Confidence intervals; 8. Hypothesis testing; 9. Fitting; 10. Multivariate analysis; Appendixes; References; Index.

Rezensionen

'This is a very useful compendium of the statistical techniques used in high energy physics experiments. I would recommend it particularly to undergraduate and PhD students entering for the first time our field.' Riccardo Faccini, Sapienza Università di Roma