U-quadratic distribution
From Wikipedia, the free encyclopedia
Probability density function |
|
| Cumulative distribution function |
|
| Parameters |   or   |
|---|---|
| Support | ![x\in [a , b]\!](../../../../math/6/2/1/6213a61aa917b2c015e28013a2f22508.png) |
| Probability density function (pdf) |  |
| Cumulative distribution function (cdf) |  |
| Mean |  |
| Median | |
| Mode | a and b |
| Variance |  |
| Skewness | 0 |
| Excess kurtosis |  |
| Entropy | TBD |
| Moment-generating function (mgf) | See text |
| Characteristic function | See text |
In probability theory and statistics, the U-quadratic distribution is a continuous probability distribution defined by a unique quadratic function with lower limit a and upper limit b.
![f(x|a,b,\alpha, \beta)=\alpha \left ( x - \beta \right )^2, \quad\text{for } x \in [a , b].](../../../../math/8/d/8/8d8ab3d3c536518dfc0be71d5e18c5ab.png)
Contents |
[edit] Parameter relations
This distribution has effectively only two parameters a, b, as the other two are explicit functions of the support defined by the former two parameters:
(gravitational balance center, offset), and
(vertical scale).
[edit] Related distributions
One can introduce a vertically inverted (
)-quadratic distribution in analogous fashion.
[edit] Applications
This distribution is a useful model for symmetric bimodal processes. Other continuous distributions allow more flexibility, in terms of relaxing the symmetry and the quadratic shape of the density function, which are enforced in the U-quadratic distribution - e.g., Beta distribution, Gamma distribution, etc.
[edit] Moment generating function
[edit] Characteristic function
[edit] Interactive demonstrations
The SOCR tools allow interactive manipulations and computations of the U-quadratic distributions, among other continuous and discrete distributions. Go to SOCR Distributions and select the U-quadraticDistribution from the drop-down list of distributions in this Java applet.
