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Encyclopedia > Shape parameter

In probability theory and statistics, a shape parameter is a special kind of numerical parameter of a parametric family of probability distributions. It has been suggested that this article or section be merged with Probability axioms. ... Template:Otherusescccc A graph of a bell curve in a normal distribution showing statistics used in educational assessment, comparing various grading methods. ... A numerical parameter is an unspecified quantity used in a function that would be completely specified if the parameter were known. ... In mathematics and statistics, a probability distribution, more properly called a probability density, assigns to every interval of the real numbers a probability, so that the probability axioms are satisfied. ...


Definition

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Examples

The following continuous probability distributions have a shape parameter:

The Erlang distribution is a continuous probability distribution with wide applicability primarily due to its relation to the exponential and Gamma distributions. ... The exponential power distribution, also known as the generalized error distribution, takes a scale parameter a and exponent b. ... In probability theory and statistics, the gamma distribution is a two-parameter family of continuous probability distributions that represents the sum of exponentially distributed random variables, each of which has mean . ... In probability theory and statistics, the generalized extreme value distribution (GEV) is a family of continuous probability distributions developed within extreme value theory to combine the Gumbel, Fréchet and Weibull families also known as type I, II and III extreme value distributions. ... The inverse gamma distribution has the probability density function over the support with shape parameter and scale parameter . ... The Pareto distribution, named after the Italian economist Vilfredo Pareto, is a power law probability distribution found in a large number of real-world situations. ... The Pearson distribution is a family of probability distributions that are a generalisation of the normal distribution. ... In probability theory and statistics, the Weibull distribution (named after Waloddi Weibull) is a continuous probability distribution with the probability density function where and is the shape parameter and is the scale parameter of the distribution. ...

See also


  Results from FactBites:
 
APPENDIX D Statistical Distributions (2660 words)
Most of the parameters for continuous distributions can be classified, on the basis of their physical or geometric interpretation, as being one of three basic types: location, scale, or shape parameters.
A location parameter l specifies an abscissa (x axis) location point of a distribution's range of values; usually, l is the midpoint (e.g., the mean of a normal distribution) or lower endpoint (e.g., location for a Pearson type V distribution) of the distribution's range.
A shape parameter a determines, distinct from location and scale, the basic form or shape of a distribution with the general family of distributions of interest.
  More results at FactBites »


 

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