Question : = = Suppose Y and X are independent binary random variables, with P(X = 1) = p, P(X = 1) = 1 – p, P(Y= 1) = q and P(Y=0)=1 – q. Let Z= X+Y. = ( ) What is the probability mass function (pmf) of Z, p(z) = P(Z = z)? = = ( ) Derive E(Z) and V(Z) ( ) Derive the P(Z = z[X = x)? = ( ) Using the your results in (b), propose a method of moment estimator for p and q. ( ) Now assume that p=q, using the method of maximum likelihood, find an estimator for p.
Question : = = Suppose Y and X are independent binary random variables, with P(X = 1) = p, P(X = 1) = 1 – p, P(Y= 1) = q
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Question : = = Suppose Y and X are independent binary random variables, with P(X = 1) = p, P(X = 1) = 1 – p, P(Y= 1) = q
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Question : = = Suppose Y and X are independent binary random variables, with P(X = 1) = p, P(X = 1) = 1 – p, P(Y= 1) = q and P(Y=0)=1 – q. Let Z= X+Y. = ( ) What is the probability mass function (pmf) of Z, p(z) = P(Z = z)? = = ( ) Derive E(Z) and V(Z) ( ) Derive the P(Z = z[X = x)? = ( ) Using the your results in (b), propose a method of moment estimator for p and q. ( ) Now assume that p=q, using the method of maximum likelihood, find an estimator for p.
Question : = = Suppose Y and X are independent binary random variables, with P(X = 1) = p, P(X = 1) = 1 – p, P(Y= 1) = q and P(Y=0)=1 – q. Let Z= X+Y. = ( ) What is the probability mass function (pmf) of Z, p(z) = P(Z = z)? = = ( ) Derive E(Z) and V(Z) ( ) Derive the P(Z = z[X = x)? = ( ) Using the your results in (b), propose a method of moment estimator for p and q. ( ) Now assume that p=q, using the method of maximum likelihood, find an estimator for p.
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