(→Covariance, Correlation Coefficient) |
(→Markov Inequality) |
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==Markov Inequality== | ==Markov Inequality== | ||
Loosely speaking: In a nonnegative RV has a small mean, then the probability that it takes a large value must also be small. | Loosely speaking: In a nonnegative RV has a small mean, then the probability that it takes a large value must also be small. | ||
| − | * <math>P(X \ | + | * <math>P(X \geq a) \leq E[X]/a\!</math> |
for all a > 0 | for all a > 0 | ||
Revision as of 07:28, 18 November 2008
Covariance, Correlation Coefficient
- $ COV(X,Y)=E[(X-E[X])(Y-E[Y])]\! $
- $ COV(X,Y)=E[XY]-E[X]E[Y]\! $
Markov Inequality
Loosely speaking: In a nonnegative RV has a small mean, then the probability that it takes a large value must also be small.
- $ P(X \geq a) \leq E[X]/a\! $
for all a > 0
