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  2. Tow hitch - Wikipedia

    en.wikipedia.org/wiki/Tow_hitch

    A weight-distributing hitch is a "load leveling" hitch. It is a hitch setup mounted on the tow vehicle that uses spring bars and chains under tension to distribute part of the trailer's hitch weight from the towing vehicle's rear axle to the towing vehicle's front axle and to the trailer's axle(s). It can help reduce trailer sway and hop.

  3. Weight distribution - Wikipedia

    en.wikipedia.org/wiki/Weight_distribution

    Weight distribution is the apportioning of weight within a vehicle, especially cars, airplanes, and trains. Typically, it is written in the form x/y, where x is the ...

  4. Kurtosis - Wikipedia

    en.wikipedia.org/wiki/Kurtosis

    The most prominent example of a mesokurtic distribution is the normal distribution family, regardless of the values of its parameters. A few other well-known distributions can be mesokurtic, depending on parameter values: for example, the binomial distribution is mesokurtic for p = 1 / 2 ± 1 / 12 {\textstyle p=1/2\pm {\sqrt {1/12}}} .

  5. Curt Herzstark - Wikipedia

    en.wikipedia.org/wiki/Curt_Herzstark

    Curt Herzstark (January 26, 1902 – October 27, 1988) was an Austrian engineer. During World War II , he designed plans for a mechanical pocket calculator (the Curta ). Life and career

  6. Curta - Wikipedia

    en.wikipedia.org/wiki/Curta

    The Curta was conceived by Curt Herzstark in the 1930s in Vienna, Austria.By 1938, he had filed a key patent, covering his complemented stepped drum. [3] [4] This single drum replaced the multiple drums, typically around 10 or so, of contemporary calculators, and it enabled not only addition, but subtraction through nines complement math, essentially subtracting by adding.

  7. Enumerator polynomial - Wikipedia

    en.wikipedia.org/wiki/Enumerator_polynomial

    The weight distribution is the sequence of numbers = # {() =} giving the number of codewords c in C having weight t as t ranges from 0 to n. The weight enumerator is the bivariate polynomial (;,) = =.