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.
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
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