All students taking laboratory courses within the physical sciences and engineering will benefit from this 2011 book. A concise, readable guide to data handling and error analysis, this book provides practical guidelines, computer programs (in Python), and recipes for the proper handling and presentation of scientific data and their inaccuracies.
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Herman Berendsen is Emeritus Professor of Physical Chemistry at the University of Groningen, the Netherlands. His research started in nuclear magnetic resonance but focused later on molecular dynamics simulations on systems of biological interest. He is one of the pioneers in this field and, with over 35,000 citations, is one of the most quoted authors in physics and chemistry. He has taught courses in molecular modeling worldwide and authored the book Simulating the Physical World (Cambridge, 2007).
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Destinos, gastos y plazos de envíoLibrería: Better World Books, Mishawaka, IN, Estados Unidos de America
Condición: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Nº de ref. del artículo: GRP97565969
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Librería: Speedyhen, London, Reino Unido
Condición: NEW. Nº de ref. del artículo: NW9780521134927
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Librería: Libreria sottomarina - Studio Bibliografico, ROMA, RM, Italia
brossura paperback. Condición: Ottimo (Fine). Book. Nº de ref. del artículo: SOL7481cu02
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9780521134927_new
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Condición: New. 2011. 1st Edition. Paperback. A concise, practical guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers. Num Pages: 238 pages, 47 b/w illus. 12 tables 49 exercises. BIC Classification: PBC; PBT; PDE; TBJ. Category: (U) Tertiary Education (US: College). Dimension: 229 x 162 x 12. Weight in Grams: 334. 240 pages, 47 b/w illus. 12 tables 49 exercises. A concise, practical 2011 guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers. Cateogry: (U) Tertiary Education (US: College). BIC Classification: PBC; PBT; PDE; TBJ. Dimension: 229 x 162 x 12. Weight: 386. . . . . . Nº de ref. del artículo: V9780521134927
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 1st edition. 224 pages. 8.90x5.98x0.55 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __0521134927
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Librería: Rarewaves.com UK, London, Reino Unido
Paperback. Condición: New. Illustrated. All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference. Nº de ref. del artículo: LU-9780521134927
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Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9780521134927
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. A Student's Guide to Data and Error Analysis 0.85. Book. Nº de ref. del artículo: BBS-9780521134927
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference. Nº de ref. del artículo: 9780521134927
Cantidad disponible: 1 disponibles