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Expectation Variance And Standard Deviation

Found 2 free book(s)
Quantitative Methods (1)

Quantitative Methods (1)

www.cfainstitute.org

h calculate and interpret the expected value, variance, and standard deviation of random variables; i explain the use of conditional expectation in investment applications; j interpret a probability tree and demonstrate its application to investment problems; k calculate and interpret the expected value, variance, standard deviation, covari-

  Standards, Variance, Expectations, Deviation, And standard deviation, Standard deviation

1 RANDOM FORESTS - University of California, Berkeley

1 RANDOM FORESTS - University of California, Berkeley

www.stat.berkeley.edu

A more revealing expression for the variance of mr is derived in the following: Let ˆj(X,Y)=argmaxj≠Y PΘ(h(X,Θ)=j) so. Definition 2.2 The raw margin function is. Thus, mr(X,Y) is the expectation of rmg(Θ,X,Y) with respect to Θ. For any function f the identity [EΘf (Θ)] 2 =E ... is the standard deviation of rmg(Θ,X,Y) holding Θ fixed. ...

  Standards, Variance, Expectations, Deviation, Standard deviation

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