November 2012
Intermediate to advanced
794 pages
22h 9m
English
book
Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
by John J. Shynk
Content preview from Probability, Random Variables, and Random Processes: Theory and Signal Processing Applications
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A.1 NOTATION
The notation below is used in the following summaries of distributions for random variables with one, two, or three parameters:
| fX(x) | probability density function (pdf) |
| pX[x] | probability mass function (pmf) |
| fX(x) | cumulative distribution function (cdf) |
| me | median |
| mo | mode |
|
nth raw (noncentral) moment 
|
|
nth central moment 
|
|
mean 
|
|
variance 
|
|
coefficient of skewness 
|
| coefficient of excess kurtosis | |
| characteristic function (continuous random variable) ... |
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