ISBN: 9780521134927 - a student's guide to data and error analysis (17 resultados)

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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.…

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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. . . . . . …

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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. . . . . . Books ship from the US and Ireland. …

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Paperback. Condición: Brand New. 1st edition. 224 pages. 8.90x5.98x0.55 inches. In Stock.

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.…

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.…

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condición: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Kartoniert / Broschiert. 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.…