000			03405nam a22004935i 4500
001			978-3-642-20989-5
003			DE-He213
005			20140220083257.0
007			cr nn 008mamaa
008			120111s2012 gw | s |||| 0|eng d
020			_a9783642209895 _9978-3-642-20989-5
024	7		_a10.1007/978-3-642-20989-5 _2doi
050		4	_aT50
072		7	_aPDDM _2bicssc
072		7	_aSCI068000 _2bisacsh
082	0	4	_a530.8 _223
100	1		_aGupta, S. V. _eauthor.
245	1	0	_aMeasurement Uncertainties _h[electronic resource] : _bPhysical Parameters and Calibration of Instruments / _cby S. V. Gupta.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012.
300			_aXIX, 321p. 23 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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.
650		0	_aPhysics.
650		0	_aMathematical physics.
650		0	_aEngineering mathematics.
650		0	_aSystem safety.
650	1	4	_aPhysics.
650	2	4	_aMeasurement Science and Instrumentation.
650	2	4	_aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650	2	4	_aQuality Control, Reliability, Safety and Risk.
650	2	4	_aMathematical Methods in Physics.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aNumerical and Computational Physics.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642209888
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-20989-5
912			_aZDB-2-PHA
999			_c101965 _d101965