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001			302724
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008			150903s2012 gw | o |||| 0|eng d
020			_a9783642209895 _99783642209895
024	7		_a10.1007/9783642209895 _2doi
035			_avtls000357016
039		9	_a201509030554 _bVLOAD _c201405060414 _dVLOAD _y201402191306 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aT50
100	1		_aGupta, S. V. _eautor _9336963
245	1	0	_aMeasurement Uncertainties : _bPhysical Parameters and Calibration of Instruments / _cby S. V. Gupta.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012.
300			_axIx, 321 páginas 23 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aSome Important Definitions -- Probability Functions -- Other Probability Functions -- Evaluation of Measurement Data -- Propagation of Errors/Uncertainty -- Uncertainty and Calibration of Instruments -- Calculation of Uncertainty -- Uncertainty in Calibration of a Surface Plate -- Uncertainty in Mass Measurement -- Uncertainty in Volumetric Measurement -- Uncertainty in Calibration of Some More Physical Instruments -- Uncertainty in Calibration of Electrical Instruments.
520			_aThis book fulfills the global need to evaluate measurement results along with the associated uncertainty. In the book, together with the details of uncertainty calculations for many physical parameters, probability distributions and their properties are discussed. Definitions of various terms are given and will help the practicing metrologists to grasp the subject. The book helps to establish international standards for the evaluation of the quality of raw data obtained from various laboratories for interpreting the results of various national metrology institutes in an international inter-comparisons. For the routine calibration of instruments, a new idea for the use of pooled variance is introduced. The uncertainty calculations are explained for (i) independent linear inputs, (ii) non-linear inputs and (iii) correlated inputs. The merits and limitations of the Guide to the Expression of Uncertainty in Measurement (GUM) are discussed. Monte Carlo methods for the derivation of the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642209888
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-20989-5 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c302724 _d302724