e.) Find and sketch the PSD of V(t). What does the system in Fig. 1 do? Problem 4 (10 points, Graduate Students Only). Suppose X is a binary random variable, with PIX = ol = 0.8 and PIX = 1] = 0.2. S...
Problems binomial random variable has the moment generating function ψ(t)-E( ur,+1-P)". Show, that EIX) np and Var(X)-np(1-P) using that EXI-v(0) and Elr_ 2. Lex X be uniformly distributed over (a b). Show that EX]- and Varm-ftT using the first and second moments of this random variable where the pdf of X is () Note that the nth i of a continuous random variable is defined as E (X%二z"f(z)dz. (z-p?expl- ]dr. ơ, Hint./ udv-w-frdu and r.e-//agu-VE. 3. Show that 4 The...
Please Do Q2 only.......... 1 = .*.vk-1e-ta 1. Suppose that X is a random variable with a Gamma-(k, 1) distribution where k > 0 is known, but > 0 is unknown Væ € (0,1), we have f(x) T(k) Let us use 0 = 1/ which is the standard approach, for example in Hogg and Tanis. Calculate the Fisher information I(C). 2. Continuing with problem 1, suppose that X1, ..., Xn are IID copies of the random variable X. Suppose we...
problems binomial random, veriable has the moment generating function, y(t)=E eux 1. A nd+ 1-p)n. Show that EIX|-np and Var(X) np(1-p) using that EIX)-v(0) nd E.X2 =ψ (0). 2. Lex X be uniformly distributed over (a b). Show that ElXI 쌓 and Var(X) = (b and second moments of this random variable where the pdf of X is (x)N of a continuous randonn variable is defined as E[X"-广.nf(z)dz. )a using the first Note that the nth moment 3. Show that...