A concise, practical guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers.
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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
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. All students taking laboratory courses within the physical sciences and engineering will benefit from this book. A concise, readable guide to data handling and error analysis, this book provides practical guidelines, computer programs (in Python), and recip. Nº de ref. del artículo: 446926636
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Librería: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condición: new. Hardcover. 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. All students taking laboratory courses within the physical sciences and engineering will benefit from this 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780521119405
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Hardcover. Condición: new. Hardcover. 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. All students taking laboratory courses within the physical sciences and engineering will benefit from this 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780521119405
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Hardcover. Condición: Brand New. 1st edition. 225 pages. 9.00x6.00x0.50 inches. In Stock. Nº de ref. del artículo: x-0521119405
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Concise, practical guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers. Nº de ref. del artículo: 9780521119405
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