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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. Borwein's algorithm - Wikipedia

    en.wikipedia.org/wiki/Borwein's_algorithm

    Start by setting [4] = = = + Then iterate + = + + = (+) + + = (+ +) + + + Then p k converges quadratically to π; that is, each iteration approximately doubles the number of correct digits.The algorithm is not self-correcting; each iteration must be performed with the desired number of correct digits for π 's final result.

  4. Prediction interval - Wikipedia

    en.wikipedia.org/wiki/Prediction_interval

    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 approximately 5 + (2⋅1) = 7, thus giving a prediction interval of ...

  5. Sigma approximation - Wikipedia

    en.wikipedia.org/wiki/Sigma_approximation

    An m-1-term, σ-approximated summation for a series of period T can be written as follows: = + = (⁡) [⁡ + ⁡ ()], in terms of the normalized sinc function: ⁡ = ⁡. and are the typical Fourier Series coefficients, and p, a non negative parameter, determines the amount of smoothening applied, where higher values of p further reduce the ...

  6. Wrapped normal distribution - Wikipedia

    en.wikipedia.org/wiki/Wrapped_normal_distribution

    A series of N measurements z n = e iθ n drawn from a wrapped normal distribution may be used to estimate certain parameters of the distribution. The average of the series z is defined as ¯ = = and its expectation value will be just the first moment:

  7. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    In the empirical sciences, the so-called three-sigma rule of thumb (or 3 σ rule) expresses a conventional heuristic that nearly all values are taken to lie within three standard deviations of the mean, and thus it is empirically useful to treat 99.7% probability as near certainty.

  8. 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 :

  9. 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 ...