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  2. Normal distribution - Wikipedia

    en.wikipedia.org/wiki/Normal_distribution

    Although the density above is most commonly known as the standard normal, a few authors have used that term to describe other versions of the normal distribution. Carl Friedrich Gauss, for example, once defined the standard normal as =, which has a variance of ⁠ ⁠, and Stephen Stigler [7] once defined the standard normal as =, which has a ...

  3. Gaussian function - Wikipedia

    en.wikipedia.org/wiki/Gaussian_function

    It is named after the mathematician Carl Friedrich Gauss. The graph of a Gaussian is a characteristic symmetric "bell curve" shape. The parameter a is the height of the curve's peak, b is the position of the center of the peak, and c (the standard deviation, sometimes called the Gaussian RMS width) controls the width of the "bell".

  4. Carl Friedrich Gauss - Wikipedia

    en.wikipedia.org/wiki/Carl_Friedrich_Gauss

    This is an accepted version of this page This is the latest accepted revision, reviewed on 27 November 2024. German mathematician, astronomer, geodesist, and physicist (1777–1855) "Gauss" redirects here. For other uses, see Gauss (disambiguation). Carl Friedrich Gauss Portrait by Christian Albrecht Jensen, 1840 (copy from Gottlieb Biermann, 1887) Born Johann Carl Friedrich Gauss (1777-04-30 ...

  5. Gaussian measure - Wikipedia

    en.wikipedia.org/wiki/Gaussian_measure

    In mathematics, Gaussian measure is a Borel measure on finite-dimensional Euclidean space, closely related to the normal distribution in statistics. There is also a generalization to infinite-dimensional spaces. Gaussian measures are named after the German mathematician Carl Friedrich Gauss.

  6. File:Normal Distribution PDF.svg - Wikipedia

    en.wikipedia.org/wiki/File:Normal_Distribution...

    English: A selection of Normal Distribution Probability Density Functions (PDFs). Both the mean, μ , and variance, σ² , are varied. The key is given on the graph.

  7. Gaussian integral - Wikipedia

    en.wikipedia.org/wiki/Gaussian_integral

    A different technique, which goes back to Laplace (1812), [3] is the following. Let = =. Since the limits on s as y → ±∞ depend on the sign of x, it simplifies the calculation to use the fact that e −x 2 is an even function, and, therefore, the integral over all real numbers is just twice the integral from zero to infinity.

  8. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    Carl Friedrich Gauss made major contributions to probabilistic methods leading to statistics. The mathematical foundations of statistics developed from discussions concerning games of chance among mathematicians such as Gerolamo Cardano, Blaise Pascal, Pierre de Fermat, and Christiaan Huygens.

  9. Gaussian integer - Wikipedia

    en.wikipedia.org/wiki/Gaussian_integer

    The Gaussian integers are the set [1] [] = {+,}, =In other words, a Gaussian integer is a complex number such that its real and imaginary parts are both integers.Since the Gaussian integers are closed under addition and multiplication, they form a commutative ring, which is a subring of the field of complex numbers.