Probability: Difference between revisions

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;Notes
;Notes
* You can think of this like the Mean Value theorem for random variables.
* You can think of this like the Mean Value theorem for random variables.
: <math>(g(X_n) - g(\theta)) \approx g'(\theta)(X_n - \theta)</math>
** <math>(g(X_n) - g(\theta)) \approx g'(\theta)(X_n - \theta)</math>


==Order Statistics==
==Order Statistics==