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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Anbieter: Better World Books, Mishawaka, IN, USA
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Anbieter: Better World Books, Mishawaka, IN, USA
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Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Artikel-Nr. 7719-9781107670341
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. A modern introduction to statistics for undergraduates in physics, with worked examples and case studies to illustrate techniques presented. Num Pages: 229 pages, 52 b/w illus. 132 exercises. BIC Classification: PBT; PHS. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 245 x 175 x 11. Weight in Grams: 466. . 2013. paperback. . . . . Books ship from the US and Ireland. Artikel-Nr. KTS0042144
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pp. 228 52 Illus. Artikel-Nr. 46369217
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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9781107670341
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