000			03699nam a22004575i 4500
001			978-0-387-29143-7
003			DE-He213
005			20250710083943.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387291437 _a99780387291437
024	7		_a10.1007/0-387-29143-1 _2doi
100	1		_aRabinovich, Semyon G. _eauthor.
245	1	0	_aMeasurement Errors and Uncertainties _h[recurso electrónico] : _bTheory and Practice / _cby Semyon G. Rabinovich.
250			_aThird Edition.
264		1	_aNew York, NY : _bSpringer New York, _c2005.
300			_aXII, 308 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aGeneral Information About Measurements -- Measuring Instruments and Their Properties -- Prerequisites for the Analysis of the Inaccuracy of Measurements and for Synthesis of Their Components -- Statistical Methods for Experimental Data Processing -- Direct Measurements -- Indirect Measurements -- Examples of Measurements and Measurement Data Processing -- Combined Measurements -- Combining the Results of Measurements -- Calculation of the Errors of Measuring Instruments -- Problems in the Theory of Calibration -- Conclusion.
520			_aMeasurement Errors and Uncertainties addresses the most important problems that physicists and engineers encounter when estimating errors and uncertainty. Building from the fundamentals of measurement theory, the author develops the theory of accuracy of measurements and offers a wealth of practical recommendations and examples of applications. This new edition covers a wide range of subjects, including: - Basic concepts of metrology - Measuring instruments characterization, standardization and calibration -Estimation of errors and uncertainty of single and multiple measurements - Modern probability-based methods of estimating measurement uncertainty With this new edition, the author completes the development of the new theory of indirect measurements. This theory provides more accurate and efficient methods for processing indirect measurement data. It eliminates the need to calculate the correlation coefficient - a stumbling block in measurement data processing - and offers for the first time a way to obtain the confidence intervals. In other words, this new theory provides means to calculate a well-grounded estimate of measurement uncertainty for this complex but widely used type of measurements. Acclaim for previous editions: "Extremely useful to metrologists and to anyone interested in measurement errors" (MEASUREMENT SCIENCE AND TECHNOLOGY) "I suggest that every technical library should own a copy of Measurement Errors. Serious experimentalists whose interests are broad will surely want to examine the book with the intent of buying it". (Applied Mechanics Review)
650		0	_aPHYSICS.
650		0	_aCHEMISTRY _xMATHEMATICS.
650		0	_aBIOLOGY _xMATHEMATICS.
650		0	_aWEIGHTS AND MEASURES.
650	1	4	_aPHYSICS.
650	2	4	_aMEASUREMENT SCIENCE, INSTRUMENTATION.
650	2	4	_aCONTROL ENGINEERING.
650	2	4	_aNUMERICAL AND COMPUTATIONAL METHODS IN ENGINEERING.
650	2	4	_aMATH. APPLICATIONS IN CHEMISTRY.
650	2	4	_aMATHEMATICAL BIOLOGY IN GENERAL.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387253589
856	4	0	_uhttp://dx.doi.org/10.1007/0-387-29143-1 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-PHA
942			_2ddc _cER
999			_c56914 _d56914