Bell-shaped function

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The density function of the normal distribution is an archetypal example of a bell-shaped function

A bell-shaped function is a function from to whose graph has a characteristic "bell shape". Such functions are often chosen regularly (e.g. continuous or even smooth ) and they converge for towards 0. In addition, they have a single global maximum, often at . The antiderivatives of bell-shaped functions are therefore mostly sigmoid functions . Bell-shaped functions are often mirror-symmetric to the axis on which the maximum is assumed.

Many commonly used probability density functions are bell-shaped.

Some bell-shaped functions, such as the density functions of the normal distribution or the Cauchy distribution , can be used to construct Dirac sequences . These are function sequences with decreasing variance, which ( in the sense of distributions ) converge to a delta distribution .

Examples

  • The density functions of the normal distribution. This often occurs in practical applications (see central limit theorem ).

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Individual evidence

  1. ^ Fuzzy Logic Membership Function . Retrieved December 29, 2018.
  2. Generalized bell-shaped membership function . Retrieved December 29, 2018.