Students guide data error von berendsen herman (7 Ergebnisse)

Zustand: As New. Unread book in perfect condition.

brossura paperback. Zustand: Ottimo (Fine). Book.

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

Taschenbuch. Zustand: 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.…

Zustand: New. 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 163 x 16. Weight in Grams: 508. . 2011. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 1st edition. 225 pages. 9.00x6.00x0.50 inches. In Stock.

Buch. Zustand: 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.…