Let ?1, ?2, ?3 be 3 independent random variables with uniform
distribution on [0, 1]. Let ?? be the ?-th smallest among {?1, ?2,
?3}. Find the variance of ?2, and the covariance between the median
?2 and the sample mean ? = 1 3 (?1 + ?2 + ?3).
2. Let ?1, ?2, ?3 be 3 independent random variables with uniform
distribution on [0, 1]. Let ?? be the ?-th smallest among {?1, ?2,
?3}. Find the variance of ?2, and the covariance between the median
?2 and the sample mean ? = 1 3 (?1 + ?2 + ?3).
2. Let X1, ..., Xn be a random sample from a uniform
distribution on the interval (0, θ) where θ > 0 is a parameter.
The prior distribution of the parameter has the pdf f(t) =
βαβ/t^(β−1) for α < t < ∞ and zero elsewhere, where α > 0,
β > 0. Find the Bayes estimator for θ. Describe the usefulness
and the importance of Bayesian estimation.
We are assuming that theta = t, but we are unsure if...
1- Write a function f(n,a,b) that generates n random
numbers
# from Uniform(a,b) distribution and returns their minimum.
# Execute the function with n=100, a=1, b=9.
2- Replicate the function call f(100,1,9) 100 thousand
times
# and plot the empirical density of the minimum of 100 indep.
Unif(1,9)'s
3-Use the sampling distribution from (b) to find 95%
confidence
# interval for the minimum of 100 independent Unif(1,9)'s.
Please solve in R
Let X have a uniform distribution on the interval
[A, B].
(a)
Obtain an expression for the (100p)th percentile,
x.
x =
(b)
Compute
E(X), V(X), and σX.
E(X)
=
V(X)
=
σX
=
(c)
For n, a positive integer, compute
E(Xn).
E(Xn)
=
Let X1, . . . , Xn be a random sample from a uniform
distribution on the interval [a, b]
(i) Find the moments estimators of a and b.
(ii) Find the MLEs of a and b.
1. Let X be the uniform distribution on [-1, 1] and let Y be the
uniform distribution on [-2,2].
a) what are the p.d.f.s of X and Y resp.?
b) compute the means of X, Y. Can you use symmetry?
c) compute the variance. Which variance is higher?
9. Let f (x) = x^3 − 10. Find all numbers c in the interval
(-11, 11) for which the line tangent to the graph of f is parallel
to the line joining (−11, f (−11)) and (11, f(11)). How many such
numbers exist in the given interval?
. 0
. 1
. 2 (correct)
. 3
Enter points in increasing order (smallest first). Enter DNE in
any empty answer blank.
c =
c =
c = DNE (correct)
10....
Let X1,X2, . . . , Xn be a random sample from the uniform
distribution with pdf f(x; θ1, θ2) =
1/(2θ2), θ1 − θ2 < x <
θ1 + θ2, where −∞ < θ1 < ∞
and θ2 > 0, and the pdf is equal to zero
elsewhere.
(a) Show that Y1 = min(Xi) and Yn = max(Xi), the joint
sufficient statistics for θ1 and θ2, are
complete.
(b) Find the MVUEs of θ1 and θ2.
Let Y1, Y2, . . ., Yn be a
random sample from a uniform distribution on the interval (θ - 2,
θ).
a) Show that Ȳ is a biased estimator of θ. Calculate the
bias.
b) Calculate MSE( Ȳ).
c) Find an unbiased estimator of θ.
d) What is the mean square error of your unbiased estimator?
e) Is your unbiased estimator a consistent estimator of θ?