# AP Statistics Curriculum 2007 Rice

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 Revision as of 04:22, 7 July 2011 (view source)JayZzz (Talk | contribs) (Created page with '== General Advance-Placement (AP) Statistics Curriculum - Rice Distribution== ===Rice Distribution=== Also known as the Rician Distribution, t…')← Older edit Revision as of 04:25, 7 July 2011 (view source)JayZzz (Talk | contribs) Newer edit → Line 19: Line 19: '''Support'''
'''Support'''
''x'' ∈ [0, +∞) ''x'' ∈ [0, +∞) + + ===Moments=== + The first few [[raw moments]] are: + + :$\mu_1^'= \sigma \sqrt{\pi/2}\,\,L_{1/2}(-\nu^2/2\sigma^2)$ + :$\mu_2^'= 2\sigma^2+\nu^2\,$ + + ===Applications=== + Describing fading in wireless communications systems analysis
+ http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1532472 + + Radar signal processing
+ http://users.ece.gatech.edu/mrichard/Rice%20power%20pdf.pdf + + Describing noisy MRI Data
+ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2254141/ + + ===SOCR Links=== + http://www.distributome.org/ -> SOCR -> Distributions -> Rice Distribution + + http://www.distributome.org/ -> SOCR -> Functors -> Rice Distribution + + http://www.distributome.org/ -> SOCR -> Modeler -> Rice_Fit Modeler + + SOCR Rice Distribution Calculator: http://socr.ucla.edu/htmls/dist/Rice_Distribution.html + +
+ * SOCR Home page: http://www.socr.ucla.edu + + {{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php/AP_Statistics_Curriculum_2007_Johnson_SB}}

## General Advance-Placement (AP) Statistics Curriculum - Rice Distribution

### Rice Distribution

Also known as the Rician Distribution, the Rice distribution is the probability distribution of the absolute value of a Circular Bivariate Normal random variable with potentially non-zero mean.

PDF
$\frac{x}{\sigma^2}\exp\left(\frac{-(x^2+\nu^2)} {2\sigma^2}\right)I_0\left(\frac{x\nu}{\sigma^2}\right)$

CDF
$1-Q_1\left(\frac{\nu}{\sigma },\frac{x}{\sigma }\right)$

Mean
$\sigma \sqrt{\pi/2}\,\,L_{1/2}(-\nu^2/2\sigma^2)$

Variance
$2\sigma^2+\nu^2-\frac{\pi\sigma^2}{2}L_{1/2}^2\left(\frac{-\nu^2}{2\sigma^2}\right)$

Support
x ∈ [0, +∞)

### Moments

The first few raw moments are:

$\mu_1^'= \sigma \sqrt{\pi/2}\,\,L_{1/2}(-\nu^2/2\sigma^2)$
$\mu_2^'= 2\sigma^2+\nu^2\,$

### Applications

Describing fading in wireless communications systems analysis
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1532472

http://users.ece.gatech.edu/mrichard/Rice%20power%20pdf.pdf

Describing noisy MRI Data
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2254141/

http://www.distributome.org/ -> SOCR -> Distributions -> Rice Distribution

http://www.distributome.org/ -> SOCR -> Functors -> Rice Distribution

http://www.distributome.org/ -> SOCR -> Modeler -> Rice_Fit Modeler

SOCR Rice Distribution Calculator: http://socr.ucla.edu/htmls/dist/Rice_Distribution.html