Note that the random variables Q1, ,QN in Section 6 3 have a joint multinomial distribution with probabilities 1,2, ,N Use properties of the multinomial distribution to show that in (6 13) is an unbiased estimator of t with variance given by Also show that (6 14) is an unbiased estimator of the var...

The random variables Q1 QN have a joint multinomial distribution with probabilities 1 ...

Note that the random variables Q1, . . . ,QN in Section 6.3 have a joint multinomial

Question:

Note that the random variables Q1, . . . ,QN in Section 6.3 have a joint multinomial with probabilities Ïˆ1,Ïˆ2, . . . ,ÏˆN. Use properties of the multinomial to show that á¹«Ïˆ in (6.13) is an unbiased estimator of t with variance given by

Also show that (6.14) is an unbiased estimator of the variance in (6.46). Hint: Use properties of conditional expectation in Appendix A, and write

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...