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  2. Neyer d-optimal test - Wikipedia

    en.wikipedia.org/wiki/Neyer_d-optimal_test

    The Neyer d-optimal test is a sensitivity test. It can be used to answer questions such as "How far can a carton of eggs fall, on average, before one breaks?" If these egg cartons are very expensive, the person running the test would like to minimize the number of cartons dropped, to keep the experiment cheaper and to perform it faster.

  3. Minimum detectable signal - Wikipedia

    en.wikipedia.org/wiki/Minimum_detectable_signal

    A minimum detectable signal is a signal at the input of a system whose power allows it to be detected over the background electronic noise of the detector system. It can alternately be defined as a signal that produces a signal-to-noise ratio of a given value m at the output.

  4. Sensitivity (electronics) - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_(electronics)

    The sensitivity of an electronic device, such as a communications system receiver, or detection device, such as a PIN diode, is the minimum magnitude of input signal required to produce a specified output signal having a specified signal-to-noise ratio, or other specified criteria. In general, it is the signal level required for a particular ...

  5. Sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_analysis

    Therefore, the choice of method of sensitivity analysis is typically dictated by a number of problem constraints, settings or challenges. Some of the most common are: Computational expense: Sensitivity analysis is almost always performed by running the model a (possibly large) number of times, i.e. a sampling-based approach. [8]

  6. SINAD - Wikipedia

    en.wikipedia.org/wiki/SINAD

    The signal-to-noise and distortion ratio (SINAD) is a measure of the quality of a signal from a communications device, often defined as = ⁡ + + +, where is the average power of the signal, noise and distortion components.

  7. Variance-based sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Variance-based_sensitivity...

    Variance-based sensitivity analysis (often referred to as the Sobol’ method or Sobol’ indices, after Ilya M. Sobol’) is a form of global sensitivity analysis. [ 1 ] [ 2 ] Working within a probabilistic framework, it decomposes the variance of the output of the model or system into fractions which can be attributed to inputs or sets of inputs.

  8. Fourier amplitude sensitivity testing - Wikipedia

    en.wikipedia.org/wiki/Fourier_amplitude...

    FAST is more efficient to calculate sensitivities than other variance-based global sensitivity analysis methods via Monte Carlo integration. However the calculation by FAST is usually limited to sensitivities referred to as “main effects” or “first-order effects” due to the computational complexity in computing higher-order effects.

  9. Detection limit - Wikipedia

    en.wikipedia.org/wiki/Detection_limit

    Most analytical instruments produce a signal even when a blank (matrix without analyte) is analyzed.This signal is referred to as the noise level. The instrument detection limit (IDL) is the analyte concentration that is required to produce a signal greater than three times the standard deviation of the noise level.