ANSWER a:
k=1
ANSWER b:
E(Y)=/(+1)
Variance of Y=/((+1)2(+2))
ANSWER c:
bar= m1'/(1-m1')
ANSWER d:
cap= -n/ln yi
ANSWER e:
bar=0.9230(approx.)
cap=1.2942(approx.)
bar is not an acceptable estimate as >1.
6. Let Y be a continuous random variable with probability density function Oyo-1, for 0< y<...
Let with Y, Y, ..., Yn be i id random variables the following probability density function, 1 x)/x fyly) = f I y ocyc1 o otherwise a) b) where x>0 is an unknown parameter. Find the maximum likelihood estimator , ã of x. Show this is an unbaised estimator for a. Hint : make use of the fact that in y follows an exponential distribution with mean a. Toe., -lny ~ Exp(x) c) Find the MSE of the manimum likelihood...
Let X be a random variable with the following probability distribution: f(x) = S(0+1).xº, 05xs1 lo, otherwise a. (3 points) Find the maximum likelihood estimator of A based on a random sample of size n. b. (3 points) Find the moment estimator of based on a random sample of size n. c. (6 points) Find the maximum likelihood estimate for the median of the distribution,.
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(1 point) Let Yı, Y2, ..., Yn be a random sample from the probability density function f(yla) = |aya-2/5° f(y ) 0 <y< 5 otherwise 0 for > -1. Find an estimator for a using the method of moments.
Consider the random variable Y, whose probability density function is defined as: if 0 y1 2 y if 1 y < 2 fr(v) 0 otherwise (a) Determine the moment generating function of Y (b) Suppose the random variables X each have a continuous uniform distribution on [0,1 for i 1,2. Show that the random variable Z X1X2 has the same distribution = as the random variable Y defined above. Consider the random variable Y, whose probability density function is defined...
Let X be a continuous random variable with the following probability density function f 0 < x < 1 otherwise 0 Let Y = 10 X: (give answer to two places past decimal) 1. Find the median (50th percentile) of Y. Submit an answer Tries 0/99 2. Compute p (Y' <1). Submit an answer Tries 0/99 3. Compute E (X). 0.60 Submit an answer Answer Submitted: Your final submission will be graded after the due date. Tries 1/99 Previous attempts...
Consider the following continuous probability density function with unknown population parameter 0. 2.) for 2 x+oo fx)= Ө (х — 1) 40+1) otherwise 0 Demonstrate that Jf(x) dx = 1 (you may assume 0 > 1) Determine the maximum likelihood estimator for 0 (based on a random sample of n observations) +oo (b)
4. The Uniform (0,20) distribution has probability density function if 0 x 20 f (x) 20 0, otherwise, , where 0 > 0. Let X,i,.., X, be a random sample from this distribution. Not cavered 2011 (a) [6 marks] Find-4MM, the nethod of -moment estimator for θ for θ? If not, construct-an unbiased'estimator forg based on b) 8 marks Let X(n) n unbia estimator MM. CMM inbiase ( = max(X,, , Xn). Let 0- be another estimator of θ. 18θ...
1. Let Y1, . . . ,Y,, be a random sample from a population with density function 0, otherwise (a) Find the method of moments estimator of θ (b) Show that Yan.-max(Yi, . . . ,%) is sufficient for 02] (Hint: Recall the indicator function given by I(A)1 if A is true and 0 otherwise.) (c) Determine the density function of Yn) and hence find a function of Ym) that is an unbiased estimator of θ (d) Find c so...