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  2. Logarithmic mean temperature difference - Wikipedia

    en.wikipedia.org/wiki/Logarithmic_mean...

    In thermal engineering, the logarithmic mean temperature difference (LMTD) is used to determine the temperature driving force for heat transfer in flow systems, most notably in heat exchangers. The LMTD is a logarithmic average of the temperature difference between the hot and cold feeds at each end of the double pipe exchanger.

  3. NTU method - Wikipedia

    en.wikipedia.org/wiki/NTU_Method

    The number of transfer units (NTU) method is used to calculate the rate of heat transfer in heat exchangers (especially parallel flow, counter current, and cross-flow exchangers) when there is insufficient information to calculate the log mean temperature difference (LMTD). Alternatively, this method is useful for determining the expected heat ...

  4. Factor graph - Wikipedia

    en.wikipedia.org/wiki/Factor_graph

    with a corresponding factor graph shown on the right. Observe that the factor graph has a cycle. If we merge (,) (,) into a single factor, the resulting factor graph will be a tree. This is an important distinction, as message passing algorithms are usually exact for trees, but only approximate for graphs with cycles.

  5. Fudge factor - Wikipedia

    en.wikipedia.org/wiki/Fudge_factor

    A fudge factor is an ad hoc quantity or element introduced into a calculation, formula or model in order to make it fit observations or expectations. Also known as a correction coefficient , which is defined by

  6. Volume correction factor - Wikipedia

    en.wikipedia.org/wiki/Volume_Correction_Factor

    That is, observed temperatures above 60 °F (or the base temperature used) typically correlate with a correction factor below "1", while temperatures below 60 °F correlate with a factor above "1". This concept lies in the basis for the kinetic theory of matter and thermal expansion of matter , which states as the temperature of a substance ...

  7. Sheppard's correction - Wikipedia

    en.wikipedia.org/wiki/Sheppard's_correction

    In statistics, Sheppard's corrections are approximate corrections to estimates of moments computed from binned data. The concept is named after William Fleetwood Sheppard . Let m k {\displaystyle m_{k}} be the measured k th moment, μ ^ k {\displaystyle {\hat {\mu }}_{k}} the corresponding corrected moment, and c {\displaystyle c} the breadth ...

  8. Standard deviation - Wikipedia

    en.wikipedia.org/wiki/Standard_deviation

    For the normal distribution, an unbiased estimator is given by ⁠ s / c 4 ⁠, where the correction factor (which depends on N) is given in terms of the Gamma function, and equals: = (). This arises because the sampling distribution of the sample standard deviation follows a (scaled) chi distribution , and the correction factor is the mean of ...

  9. Compositional data - Wikipedia

    en.wikipedia.org/wiki/Compositional_data

    In demography, a town may be a compositional data point in a sample of towns; a town in which 35% of the people are Christians, 55% are Muslims, 6% are Jews, and the remaining 4% are others would correspond to the quadruple [0.35, 0.55, 0.06, 0.04]. A data set would correspond to a list of towns.