031 22 95 182 poimâine de la ora 8.00

Transport gratuit la punctele de livrare Pick Up peste 299 lei

Packeta 15 lei Easybox 20 lei Cargus 25 lei FAN 25 lei

Contact

Cum să cumpăr

Ajutor

Contul meu

▸ Gol :-(

Student's Guide to Data and Error Analysis

Name: Student's Guide to Data and Error Analysis
Brand: Cambridge University Press
SKU: 04090517
Price: 511 RON
Availability: InStock

Herman J C Berendsen

Limba

engleză

Carte Copertă tare

Codul Libristo: 04090517

Editura Cambridge University Press, aprilie 2011

All students taking laboratory courses within the physical sciences and engineering will benefit fro... Descrierea completă

Codul Libristo: 04090517

256 b

511 lei

În depozitul extern Expediem în 14-18 zile

30 de zile pentru retur bunuri

Clienții au cumpărat de asemenea

Introduction to Quantum Mechanics David J. Griffiths

/ Copertă tare

340 lei

Modern Quantum Mechanics Jim Napolitano

/ Copertă tare

369 lei

Dictionary of Physics Richard Rennie

/ Carte broșată

81 lei

Chaos and Dynamical Systems David Feldman

/ Carte broșată

220 lei

Introduction to the Theory of Complex Systems STEFAN THURNER

/ Copertă tare

514 lei

Large Scale Structure of Space-Time S W Hawking

/ Carte broșată

295 lei

Mathematical Theory of Black Holes S Chandrasekhar

/ Carte broșată

671 lei

300 Problems in Special and General Relativity OHLSSON TOMMY

/ Carte broșată

190 lei

Cambridge Handbook of Physics Formulas Graham Woan

/ Carte broșată

450 lei

Student's Guide to Fourier Transforms John James

/ Carte broșată

201 lei

Physics and Evolution of Active Galactic Nuclei Hagai Netzer

/ Copertă tare

456 lei

Student's Guide to Maxwell's Equations Daniel Fleisch

/ Copertă tare

401 lei

Gravitational Waves Michele Maggiore

/ Copertă tare

564 lei

Modern General Relativity Guidry

/ Copertă tare

333 lei

Fundamentals of Radio Astronomy Jonathan Marr

/ Copertă tare

710 lei

Plasma Astrophysics Kazunari Shibata

/ Carte broșată

499 lei

All students taking laboratory courses within the physical sciences and engineering will benefit from this 2011 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.