A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented.
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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.
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Hardcover. Etat : new. Hardcover. 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. A modern introduction to statistics, this book is ideal for undergraduates in physics. It covers the basic topics as well as 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781107030015
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 228 pages. 10.00x7.00x0.75 inches. In Stock. N° de réf. du vendeur x-1107030013
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Hardcover. Etat : new. Hardcover. 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. A modern introduction to statistics, this book is ideal for undergraduates in physics. It covers the basic topics as well as 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781107030015
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