Difference between revisions of "UQuadraticDistribuionAbout"
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* Skewness: 0 (distribution is symmetric around the mean) | * Skewness: 0 (distribution is symmetric around the mean) | ||
* Kurtosis: <math> {3 \over 112} (b-a)^4 </math> | * Kurtosis: <math> {3 \over 112} (b-a)^4 </math> | ||
| + | * Moment Generating Function: <math>M_x(t)= {-3\left(e^{at}(4+(a^2+2a(-2+b)+b^2)t)- e^{bt} (4 + (-4b + (a+b)^2)t)\right) \over (a-b)^3 t^2 }</math> | ||
| + | * Characteristic Function: <math>{3i\left(e^{iat}(-4i+(a^2+2a(-2+b)+b^2)t)+ e^{ibt} (4i - (-4b + (a+b)^2)t)\right) \over (a-b)^3 t^2 }</math> | ||
===Interactive U Quadratic Distribution=== | ===Interactive U Quadratic Distribution=== | ||
Revision as of 15:09, 8 November 2007
Contents
About_pages_for_SOCR_Distributions - U-Quadratic Distribution
Description
The U quadratic distribution is defined by the following density function
where the relation between the two pairs of parameters (domain-support, a and b) and (range/offset \(\alpha\) and \(\beta\)) are given by the following two equations
More information about U-quadratic, and other continuous distribution functions, is available at Wikipedia.
Properties
- Support Parameters\[a < b \in (-\infty,\infty)\]
- Scale/Offset Parameters\[\alpha \in (0,\infty)\] and \(\beta \in (-\infty,\infty)\)
- PDF\[f(x)=\alpha \left ( x - \beta \right )^2, \forall x \in [a , b]\]
- CDF \(F(x)={\alpha \over 3} \left ( (x - \beta)^3 + (\beta - a)^3 \right ), \forall x \in [a , b]\)
- Mean\[{a+b \over 2}\]
- Median\[{a+b \over 2}\]
- Modes\[a \] and \( b \)
- Variance\[ {3 \over 20} (b-a)^2 \]
- Skewness: 0 (distribution is symmetric around the mean)
- Kurtosis\[ {3 \over 112} (b-a)^4 \]
- Moment Generating Function\[M_x(t)= {-3\left(e^{at}(4+(a^2+2a(-2+b)+b^2)t)- e^{bt} (4 + (-4b + (a+b)^2)t)\right) \over (a-b)^3 t^2 }\]
- Characteristic Function\[{3i\left(e^{iat}(-4i+(a^2+2a(-2+b)+b^2)t)+ e^{ibt} (4i - (-4b + (a+b)^2)t)\right) \over (a-b)^3 t^2 }\]
Interactive U Quadratic Distribution
You can see the interactive U Quadratic distribution by going to SOCR Distributions and selecting from the drop down list of distributions U Quadratic. Then follow the Help instructions to dynamically set parameters, compute critical and probability values using the mouse and keyboard.
- SOCR Home page: http://www.socr.ucla.edu
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