000			03891nam a22004335i 4500
001			978-0-387-78650-6
003			DE-He213
005			20251006084419.0
007			cr nn 008mamaa
008			100301s2008 xxu| s |||| 0|eng d
020			_a9780387786506
020			_a99780387786506
024	7		_a10.1007/978-0-387-78650-6 _2doi
100	1		_aFornasini, Paolo. _eauthor.
245	1	4	_aThe Uncertainty in Physical Measurements _h[electronic resource] : _bAn Introduction to Data Analysis in the Physics Laboratory / _cby Paolo Fornasini.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2008.
300			_aXII, 289 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aMeasurements and Uncertainty -- Physical Quantities -- Measurement Units -- Measuring Instruments -- Uncertainty in Direct Measurements -- Probability and Statistics -- Basic Probability Concepts -- Distributions of Random Variables -- Statistical Tools -- Data Analysis -- Uncertainty in Indirect Measurements -- Confidence Levels -- Correlation of Physical Quantities -- The Chi Square Test -- Appendices -- Presentation of Experimental Data -- Systems of Units -- Tables -- Mathematical Complements -- Experiments.
520			_aAll measurements of physical quantities are affected by uncertainty. Understanding the origin of uncertainty, evaluating its extent and suitably taking it into account in data analysis is essential for assessing the degree of accuracy of phenomenological relationships and physical laws in both scientific research and technological applications. The Uncertainty in Physical Measurements: An Introduction to Data Analysis in the Physics Laboratory presents an introduction to uncertainty and to some of the most common procedures of data analysis. This book will serve the reader well by filling the gap between tutorial textbooks and highly specialized monographs. The book is divided into three parts. The first part is a phenomenological introduction to measurement and uncertainty: properties of instruments, different causes and corresponding expressions of uncertainty, histograms and distributions, and unified expression of uncertainty. The second part contains an introduction to probability theory, random variable distributions and basic statistical tools. The third part introduces the readers to some basic data analysis procedures: propagation of uncertainty, least squares fit, chi square test, and confidence intervals to name a few. The introduction of probability and statistical tools is made on phenomenological grounds, as a natural response to the problems arising in the laboratory practice. The author has made a concentrated effort to guarantee both accuracy and clarity through the introduction of a large number of figures and worked examples, many of them taken from laboratory experimentations and practice. The book is enriched by the detailed proposal of several simple experiments. Paolo Fornasini is a Professor of Physics at the University of Trento, Italy. He is the author, with Giuseppe Dalba, of Esercizi di Fisica: Meccanica e Termodinamica (Springer 2006).<
650		0	_aPHYSICS.
650		0	_aWEIGHTS AND MEASURES.
650		0	_aSTATISTICAL PHYSICS.
650		0	_aENGINEERING.
650	1	4	_aPHYSICS.
650	2	4	_aMEASUREMENT SCIENCE, INSTRUMENTATION.
650	2	4	_aENGINEERING, GENERAL.
650	2	4	_aSTATISTICAL PHYSICS.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387786490
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-78650-6 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-PHA
942			_2ddc _cER
999			_c59093 _d59093