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Question 4. (Jacod and Protter 20.2) Let (Y/),21 be a sequence of indepen- dent Bernoulli random...
Let A be symmetric, Y N(O,V), and w...,ws be indepen- dent X2(1) random variables. Show that for some value of sand some numbers λί Hint: YQZ so Y'AY~Z'OAQZ. Write Q'AQ PD()P
1. Let {y,)%, be a sequence of random variables, and let Y be a random variable on the same sample space. Let A(E) be the event that Y - Y e. It can be shown that a sufficient condition for Y, to converge to Y w.p.1 as n → oo is that for every e0, (a) Let {Xbe independent uniformly distributed random variables on [0, 1] , and let Yn = min (X), , X,). In class, we showed that...
Question 4 15 marks] The random variables X1, ... , Xn random variables with common pdf independent and identically distributed are 0 E fx (x;01) 0 independent of the random variables Y^,..., Y, which and are indepen are dent and identically distributed random variables with common pdf 0 fy (y; 02) 0 (a) Show that the MLE8 of 01 and 02 are 1 = X i=1 Y (b) Show that the MLE of 0 when 01 = 0, = 0...
Exercise 1.5.7 Let A be symmetric, Y dent χ2 N(0,V), and w, wi,... , Ws be indepen (1) random variables. Show that for some value of s and some numbers ,, Hint: Y ~ QZ so YAY ~ Z'Q'AQZ. Write Q,AQ = PD(A)P'.
Exercise 5.23. Let (Xn)nz1 be a sequence of i.i.d. Bernoulli(p) RVs. Let Sn -Xi+Xn (i) Let Zn-(Sn-np)/ V np (1-p). Show that as n oo, Zn converges to the standard normal RV Z~ N(0,1) in distribution. (ii) Conclude that if Yn~Binomial(n, p), then (iii) From i, deduce that have the following approximation x-np which becomes more accurate as n → oo.
Let a sequence of random variables Un converge in probability to c and the sequence of random variables Vn converge in distribution to d. Show that Un+Vn converges in probability c + d.
Suppose X, Y and Z are three different random variables. Let X obey Bernoulli Distribution. The probability distribution function is p(x) = Let Y obeys the standard Normal (Gaussian) distribution, which can be written as Y ∼ N(0, 1). X and Y are independent. Meanwhile, let Z = XY . (a) What is the Expectation (mean value) of X? (b) Are Y and Z independent? (Just clarify, do not need to prove) (c) Show that Z is also a standard...
Let
be a sequence of random variables, and let Y be a random
variable on the same sample space. Let An(ϵ) be the
event that |Yn − Y | > ϵ. It can be shown that a
sufficient condition for Yn to converge to Y w.p.1 as
n → ∞ is that for every ϵ > 0,
(a) Let
be independent uniformly distributed random variables on [0, 1],
and let Yn = min(X1, . . . , Xn).
In class,...
1) [6 pts] Let Y be a Bernoulli random variable with success probability Pr (Y 1 )p, and let Y, Yn be iid draws from this distribution. Let p be the fraction of successes (1's) in this sample. (a) Show that p Y. (b) Show that p is an unbiased estimator of p. (c) (1-p)/n Show that var (p)-p
8. Let X1...., X, be i.i.d. ~E(1) random variables (i.e., they are independent and identically distributed, all with the exponential distribution of parameter 1 = 1). a) Compute the cdf of Yn = min(X1,...,xn). b) How do P({Y, St}) and P({X1 <t}) compare when n is large and t is such that t<? c) Compute the odf of Zn = max(X1...., X.). d) How do P({Zn2 t}) and P({X1 2 t}) compare when n is large and t is such...