2. a. Let Y1, ..., Yn be iid with pdf fy (y). Find the maximum likelihood estimator for the stated parameter. FIRST NAME A-H I-0 P-Z PDF N fy (y) = p z(6) 1 1 1 02 fr (y) = e z(Iny-u)2 ; yV2IT fy (y ) = =yo-1; y > 0, 0>0 y > 0, -0o 0 Parameter b. For your pdf from above, find the sufficient statistic using Neyman Factorization. Is your MLE a function of the sufficient statistic? HINT: For the I-O first name pdf, expand (FOIL) the squared term