
![a) Find the variance of each unbiased estimator Var[6] = pa, [6] = V aar Which is most efficient? Use the central limit theor](//img.homeworklib.com/images/8c3cc24e-1132-4e6f-b509-d18d09626575.png?x-oss-process=image/resize,w_560)

a) Find the variance of each unbiased estimator.
b) Use the Central Limit Theorem to create an approximate 95%
confidence interval for theta.
c) Use the pivotal quantity Beta(alpha=13, beta=13) to create an
approximate 95% confidence interval for theta.
d) Use the pivotal quantity Beta(alpha=25, beta=1) to create an
approximate 95% confidence interval for theta.
Suppose that Xi, , x25 are i.i.d. Unifom(0,0), where θ is unknown. Consider three unbiased estimators of 6 25 26 25 25 26 max (X..., X25 225 a = 2 . median ( Х, , x25 ) 2 . Y3 Note the following properties: 1) ,es are ii.d. Uniform(0,1) _, と, 3) --. BetaG-13, β = 13)
a) Find the variance of each unbiased estimator Var[6] = pa, [6] = V aar Which is most efficient? Use the central limit theorem to create an approximate 95% confidence interval for θ. Use the notation percentile of a M(0,1) distribution. b) to represent the Y Approximate 95% CI for 0:
c) Use the pivotal quantity median(13,-13) to create an exact 95% confidence interval for θ. Use the notation Apr to represent the y percentile of a Beta(&,B) distribution. 95% CI for θ: Use the pivotal quantity max(Ха.xs) 'AS) ~ Beta(α-25, β 1) to create ' ty d) an exact 95% confidence interval for θ 95% CI for :
A) Find the variance of each unbiased estimator. b) Use the Central Limit Theorem to create an ap...
Suppose that Xi, , x25 are i.i.d. Unifom(0,0), where θ is unknown. Consider three unbiased estimators of 6 25 26 25 25 26 max (X..., X25 225 a = 2 . median ( Х, , x25 ) 2 . Y3 Note the following properties: 1) ,es are ii.d. Uniform(0,1) _, と, 3) --. BetaG-13, β = 13)