Experimental uncertainty analysis is a technique that analyses a derived quantity, based on the uncertainties in the experimentally measured quantities...

Sensitivity analysis is the study of how the uncertainty in the output of a mathematical model or system (numerical or otherwise) can be divided and allocated...

In physical experiments uncertainty analysis, or experimental uncertainty assessment, deals with assessing the uncertainty in a measurement. An experiment...

based on them. When the variables are the values of experimental measurements they have uncertainties due to measurement limitations (e.g., instrument precision)...

enter mathematical models and experimental measurements in various contexts. One way to categorize the sources of uncertainty is to consider: Parameter This...

The uncertainty principle, also known as Heisenberg's indeterminacy principle, is a fundamental concept in quantum mechanics. It states that there is...

epistemic uncertainties. Accuracy and precision Confidence interval Experimental uncertainty analysis History of measurement Propagation of uncertainty Random-fuzzy...

contexts. Accepted and experimental value Condition number Errors and residuals in statistics Experimental uncertainty analysis Machine epsilon Measurement...

learning Accepted and experimental value Data quality Engineering tolerance Exactness (disambiguation) Experimental uncertainty analysis F-score Floating-point...

The design of experiments (DOE), also known as experiment design or experimental design, is the design of any task that aims to describe and explain the...

Uncertainty or incertitude refers to situations involving imperfect or unknown information. It applies to predictions of future events, to physical measurements...

of sample information Experiment Experimental design diagram Experimental event rate Experimental uncertainty analysis Experimenter's bias Experimentwise...

The analysis of variance provides the formal tools to justify these intuitive judgments. A common use of the method is the analysis of experimental data...

and probability to model how individuals would behave rationally under uncertainty. It differs from the cognitive and behavioral sciences in that it is...

observational study does not involve experimental manipulation. Two main statistical methods are used in data analysis: descriptive statistics, which summarize...

unlimited in the other). This is an elementary form of an uncertainty principle in a harmonic-analysis setting. Fourier series can be conveniently studied in...

include errors in equipment calibration, uncertainty in correction terms applied during experimental analysis, errors due the use of approximate theoretical...

the parameters to be determined as well as uncertainties in observations. The theory of Bayesian experimental design is to a certain extent based on the...

case Probabilistic design Propagation of uncertainty Experimental uncertainty analysis Sensitivity analysis Perturbation theory Continuum mechanics Solid...

of addressing the scientific or technological obstacle/uncertainty by experimentation or analysis must be clearly set out. Scientific or technological advancement:...

In the design of experiments, optimal experimental designs (or optimum designs) are a class of experimental designs that are optimal with respect to some...

terms, risk is the possibility of something bad happening. Risk involves uncertainty about the effects/implications of an activity with respect to something...

and manage uncertainty. Examples include the key assumptions check, analysis of competing hypotheses, Devil's advocacy, Red Team Analysis, and Alternative...

C6+ fraction. For "pipeline quality" natural gas, a C9+ GC analysis may reduce the uncertainty, because it eliminates the C6-C8 distribution error. However...

finished product of the analysis). The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person...

A Bruceton analysis is one way of analyzing the sensitivity of explosives as described originally by Dixon and Mood in 1948. Also known as the "Up and...

related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that...

analysis. Similarly, one may use a prior distribution with a range for a hyperparameter, thus defining a hyperprior, perhaps reflecting uncertainty in...

analysis List of chemical analysis methods Important publications in analytical chemistry List of materials analysis methods Measurement uncertainty Metrology...

with sanctions under uncertainty. Journal of Empirical Legal Studies, 7(4), 847–867 (link). • Vernon L. Smith, 2008a. "experimental methods in economics...