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  2. Quantum efficiency - Wikipedia

    en.wikipedia.org/wiki/Quantum_efficiency

    A graph showing variation of quantum efficiency with wavelength of a CCD chip from Wide Field and Planetary Camera 2, formerly installed on the Hubble Space Telescope.. The term quantum efficiency (QE) may apply to incident photon to converted electron (IPCE) ratio [1] of a photosensitive device, or it may refer to the TMR effect of a magnetic tunnel junction.

  3. Detective quantum efficiency - Wikipedia

    en.wikipedia.org/wiki/Detective_quantum_efficiency

    The DQE is the ratio of what an image is worth to what it cost in terms of numbers of Poisson-distributed quanta: D Q E = N E Q q {\displaystyle \mathrm {DQE} ={\frac {\mathrm {NEQ} }{q}}} . In this sense the DQE describes how effectively an imaging system captures the information content available in an x-ray image relative to an ideal detector.

  4. Q factor - Wikipedia

    en.wikipedia.org/wiki/Q_factor

    The Q factor is a parameter that describes the resonance behavior of an underdamped harmonic oscillator (resonator). Sinusoidally driven resonators having higher Q factors resonate with greater amplitudes (at the resonant frequency) but have a smaller range of frequencies around that frequency for which they resonate; the range of frequencies for which the oscillator resonates is called the ...

  5. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    The bold numbers (36, 39) are used to calculate the median as their average. As there are an even number of data points, the first three methods all give the same results. (The Method 3 is executed such that the median is not chosen as a new data point and the Method 1 started.)

  6. Q methodology - Wikipedia

    en.wikipedia.org/wiki/Q_methodology

    Q methodology is a research method used in psychology and in social sciences to study people's "subjectivity"—that is, their viewpoint. Q was developed by psychologist William Stephenson . It has been used both in clinical settings for assessing a patient's progress over time (intra-rater comparison), as well as in research settings to ...

  7. Coefficient of determination - Wikipedia

    en.wikipedia.org/wiki/Coefficient_of_determination

    Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).

  8. Tobin's q - Wikipedia

    en.wikipedia.org/wiki/Tobin's_q

    Tobin's q [a] (or the q ratio, and Kaldor's v), is the ratio between a physical asset's market value and its replacement value. It was first introduced by Nicholas Kaldor in 1966 in his paper: Marginal Productivity and the Macro-Economic Theories of Distribution: Comment on Samuelson and Modigliani .

  9. Recurrence quantification analysis - Wikipedia

    en.wikipedia.org/wiki/Recurrence_quantification...

    RQA can be applied to almost every kind of data. It is widely used in physiology, but was also successfully applied on problems from engineering, chemistry, Earth sciences etc. [2] Further extensions and variations of measures for quantifying recurrence properties have been proposed to address specific research questions. RQA measures are also ...