Question 10 Define a random variable as Y = 1 if a woman is working and Y = 0 otherwise, and let the probability function for Y be = = f(y|0) = { – 04(1 - 0)1-y for y=0,1 otherwise, where 0 < 0 < 1. = (a) Show that the moment generating function for Y is M(t) = 1+0(et – 1). Hence show that every non-central moment of Y is 0 and that the variance of Y is B = 0(1–0). (b) Prove that the Cramér-Rao minimum variance bound for an unbiased estimator for 0 is 0(1 - 0)/n.
Question 10 Define a random variable as Y = 1 if a woman is working and Y = 0 otherwise, and let the probability functio
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Question 10 Define a random variable as Y = 1 if a woman is working and Y = 0 otherwise, and let the probability functio
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Question 10 Define a random variable as Y = 1 if a woman is working and Y = 0 otherwise, and let the probability function for Y be = = f(y|0) = { – 04(1 - 0)1-y for y=0,1 otherwise, where 0 < 0 < 1. = (a) Show that the moment generating function for Y is M(t) = 1+0(et – 1). Hence show that every non-central moment of Y is 0 and that the variance of Y is B = 0(1–0). (b) Prove that the Cramér-Rao minimum variance bound for an unbiased estimator for 0 is 0(1 - 0)/n.
Question 10 Define a random variable as Y = 1 if a woman is working and Y = 0 otherwise, and let the probability function for Y be = = f(y|0) = { – 04(1 - 0)1-y for y=0,1 otherwise, where 0 < 0 < 1. = (a) Show that the moment generating function for Y is M(t) = 1+0(et – 1). Hence show that every non-central moment of Y is 0 and that the variance of Y is B = 0(1–0). (b) Prove that the Cramér-Rao minimum variance bound for an unbiased estimator for 0 is 0(1 - 0)/n.
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