The skewness of a random variable was defined in Definition 4.4.1. Suppose that X1, . . .

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The skewness of a random variable was defined in Definition 4.4.1. Suppose that X1, . . . , Xn form a random sample from a distribution F. The sample skewness is defined as
ΗΣ-X 3/2 Σ,- M3 =

One might use M3 as an estimator of the skewness θ of the distribution F. The bootstrap can be used to estimate the bias and standard deviation of the sample skewness as an estimator of θ.
a. Prove thatM3 is the skewness of the sample distribution Fn.
b. Use the 1970 fish price data in Table 11.6 on page 707. Compute the sample skewness, and then simulate 1000 bootstrap samples. Use the bootstrap samples to estimate the bias and standard deviation of the sample skewness.

Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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Probability And Statistics

ISBN: 9780321500465

4th Edition

Authors: Morris H. DeGroot, Mark J. Schervish

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