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  2. Leibniz formula for π - Wikipedia

    en.wikipedia.org/wiki/Leibniz_formula_for_π

    The formula is a special case of the Euler–Boole summation formula for alternating series, providing yet another example of a convergence acceleration technique that can be applied to the Leibniz series. In 1992, Jonathan Borwein and Mark Limber used the first thousand Euler numbers to calculate π to 5,263 decimal places with the Leibniz ...

  3. Autoregressive model - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_model

    Together with the moving-average (MA) model, it is a special case and key component of the more general autoregressive–moving-average (ARMA) and autoregressive integrated moving average (ARIMA) models of time series, which have a more complicated stochastic structure; it is also a special case of the vector autoregressive model (VAR), which ...

  4. Bailey–Borwein–Plouffe formula - Wikipedia

    en.wikipedia.org/wiki/Bailey–Borwein–Plouffe...

    Using the P function mentioned above, the simplest known formula for π is for s = 1, but m > 1. Many now-discovered formulae are known for b as an exponent of 2 or 3 and m as an exponent of 2 or it some other factor-rich value, but where several of the terms of sequence A are zero.

  5. Arctangent series - Wikipedia

    en.wikipedia.org/wiki/Arctangent_series

    In recent literature the arctangent series is sometimes called the Mādhava–Gregory series to recognize Mādhava's priority (see also Mādhava series). [ 3 ] The special case of the arctangent of ⁠ 1 {\displaystyle 1} ⁠ is traditionally called the Leibniz formula for π , or recently sometimes the Mādhava–Leibniz formula :

  6. Machin-like formula - Wikipedia

    en.wikipedia.org/wiki/Machin-like_formula

    The unit of time is defined such that one step of the pseudo code corresponds to one unit. To execute the loop, in its entirety, requires four units of time. is defined to be four. Note, however, that if is equal to one, then step one can be skipped. The loop only takes three units of time.

  7. Prediction interval - Wikipedia

    en.wikipedia.org/wiki/Prediction_interval

    The prediction interval is conventionally written as: [, +]. For example, to calculate the 95% prediction interval for a normal distribution with a mean (μ) of 5 and a standard deviation (σ) of 1, then z is approximately 2. Therefore, the lower limit of the prediction interval is approximately 5 ‒ (2⋅1) = 3, and the upper limit is ...

  8. Madhava series - Wikipedia

    en.wikipedia.org/wiki/Madhava_series

    The specific value ⁡ = can be used to calculate the circle constant π, and the arctangent series for 1 is conventionally called Leibniz's series. In recognition of Madhava's priority , in recent literature these series are sometimes called the Madhava–Newton series , [ 4 ] Madhava–Gregory series , [ 5 ] or Madhava–Leibniz series [ 6 ...

  9. Ramanujan–Sato series - Wikipedia

    en.wikipedia.org/wiki/Ramanujan–Sato_series

    In mathematics, a Ramanujan–Sato series [1] [2] generalizes Ramanujan’s pi formulas such as, = = ()!! + to the form = = + by using other well-defined sequences of integers obeying a certain recurrence relation, sequences which may be expressed in terms of binomial coefficients (), and ,, employing modular forms of higher levels.