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  2. Template:Overunderset - Wikipedia

    en.wikipedia.org/wiki/Template:Overunderset

    but sometimes one combination will not work, particularly when there is only one combined application of templates on a line: 1234567890 + , 1234567890 + . The overunderset is one way around the problem using by containing the over- and under- positions for symbols: 1234567890 + + 1234567890 + + 1234567890 1234567890 + ,

  3. Template:Underset - Wikipedia

    en.wikipedia.org/wiki/Template:Underset

    The syntax is: {{underset|under|base}} where under is some character to underset centrally beneath base, and under has a font size of 70% that of base.. This template can behave poorly when combined directly with {{}}, with symbols not aligning; use {{overunderset}} in preference.

  4. Template:Overunderset/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Overunderset/doc

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  5. Network packet - Wikipedia

    en.wikipedia.org/wiki/Network_packet

    A data unit at layer 2, the data link layer, is a frame. In layer 4, the transport layer, the data units are segments and datagrams. Thus, in the example of TCP/IP communication over Ethernet, a TCP segment is carried in one or more IP packets, which are each carried in one or more Ethernet frames.

  6. Symmetric mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Symmetric_mean_absolute...

    One supposed problem with SMAPE is that it is not symmetric since over- and under-forecasts are not treated equally. The following example illustrates this by applying the second SMAPE formula: Over-forecasting: A t = 100 and F t = 110 give SMAPE = 4.76%; Under-forecasting: A t = 100 and F t = 90 give SMAPE = 5.26%.

  7. Dimensional weight - Wikipedia

    en.wikipedia.org/wiki/Dimensional_weight

    If the package is a right-angled rectangular box , then this will be equal to the true volume of the package. However, if the package is of any other shape, then the calculation of volume will be more than the true volume of the package. Dimensional weight is also known as DIM weight, volumetric weight, or cubed weight.

  8. Discrete Weibull distribution - Wikipedia

    en.wikipedia.org/wiki/Discrete_Weibull_distribution

    The Poisson distribution is often used to model the number of rare event occurrences during a fixed period of time. It is characterized by a single parameter, λ, which is both the mean and variance of the distribution. The discrete Weibull distribution, on the other hand, is more flexible and can handle both over- and under-dispersion in count ...

  9. Package on a package - Wikipedia

    en.wikipedia.org/wiki/Package_on_a_package

    Package on a package (PoP) is an integrated circuit packaging method to vertically combine ball grid array (BGA) packages for discrete logic and memory. Two or more packages are installed atop each other, i.e. stacked, with a standard interface to route signals between them.