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Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities that are used in some form of mathematical relationship ("model") to calculate that derived quantity. The model used to convert the measurements into the derived quantity is usually based on fundamental principles of a science or engineering discipline.

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rdfs:label	Experimental uncertainty analysis (en)
rdfs:comment	Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities that are used in some form of mathematical relationship ("model") to calculate that derived quantity. The model used to convert the measurements into the derived quantity is usually based on fundamental principles of a science or engineering discipline. (en)
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dct:subject	Sensitivity analysis Measurement
Wikipage page ID	21923920 (xsd:integer)
Wikipage revision ID	1036600165 (xsd:integer)
Link from a Wikipage to another Wikipage	Science Derivative Sensitivity analysis Bias Pendulum Variance Design of experiments Standard deviation Protractor Measurement Correlation Covariance Matrix (mathematics) Mean Mechanics Estimator Engineering Equation Frequency Moment (mathematics) Total derivative Oscillation Propagation of error Linear approximation Partial derivative Data analysis Displacement (geometry) Linear function Algebra Expected value Normal distribution Center of mass Gravitational acceleration Histogram Probability density function Quadratic form Random variable Interval finite element Taylor series Accuracy and precision Chain rule Systematic error Coefficient Coefficient of variation Average Integral Radian Mathematical model Mean squared error Sensitivity analysis Simulation Propagation of uncertainty Uncertainty analysis Input parameter Reproducibility Unbiased estimation of standard deviation Sample size Vector Product Tangent plane Fractional charge Parallel-axis theorem Random variation Integer number Experimental design
Link from a Wikipage to an external page	http://www.geogebra.org/en/upload/files/nikenuke/wikiPOE01.html
sameAs	Experimental uncertainty analysis Experimental uncertainty analysis Experimental uncertainty analysis
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has abstract	Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities that are used in some form of mathematical relationship ("model") to calculate that derived quantity. The model used to convert the measurements into the derived quantity is usually based on fundamental principles of a science or engineering discipline. The uncertainty has two components, namely, bias (related to accuracy) and the unavoidable random variation that occurs when making repeated measurements (related to precision). The measured quantities may have biases, and they certainly have random variation, so what needs to be addressed is how these are "propagated" into the uncertainty of the derived quantity. Uncertainty analysis is often called the "propagation of error." (en)
prov:wasDerivedFrom	wikipedia-en:Experimental_uncertainty_analysis?oldid=1036600165&ns=0
page length (characters) of wiki page	85295 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Experimental_uncertainty_analysis
is Link from a Wikipage to another Wikipage of	Approximation error Measurement uncertainty Airborne particulate radioactivity monitoring Differential of a function Interval finite element Accuracy and precision Sensitivity analysis List of statistics articles Propagation of uncertainty

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