A. Standard Deviation
B. Mean
C. mean Square Error
D. Variance
Related Mcqs:
- An estimator Q is an unbiased estimator of the population parameter Q if ___________________?
A. E(x) = µ
B. E(Q) =Q
C. E(Q) =Q
D. E(P) = P - Since E(X) _______X is said to be unbiased estimator of the population mean?
A. Q
B. X
C. Ux
D. u - Criteria to check a point estimator to be good are_____________?
A. Consistency
B. All Above
C. Unbiasedness
D. Efficiency - For a biased estimator θˆ of θ, which one is correct_______________?
A. MSE(θˆ)=SD(θˆ)+Bias
B. MSE(θˆ)=Var(θˆ)+Bias2
C. MSE(θˆ)=SD(θˆ)+Bias2
D. MSE(θˆ)=Var(θˆ)+Bias - Let X1,X2,……,Xn be a random sample from a density,,,, f(x ι θ) where θ is a value of the random variable Θwith known density gΘ(θ) Then the estimator ∏(θ) with…/ respect to the prior gΘ(θ) is define as_________________E[∏(θ)ιX1,X2,…..,Xn] is called?
A. Posterior Bay’s estimator
B. Minimax estimator
C. Bay’s estimator
D. Sufficient estimator - Sample proportion P is __________ estimator?
A. Biased
B. Parameter
C. Unbiased
D. None of these - Sample variance S2 is unbiased estimator of population variance 26 because ________________?
A. E(S2) = s2
B. E(u) = X
C. E(P) = P
D. Ux = u - x=40 is estimator of _________________?
A. (U)
B. 6
C. Ux
D. 6/√n - The minimum variance unbiased estimator of the population mean is _______________?
A. 6/√n
B. S/√n
C. S2/n
D. 6x/√n - Let X1,X2,……,Xn be a random sample from a density,,,, f(x ι θ) where θ is a value of the random variable Θwith known density gΘ(θ) Then the estimator ∏(θ) with…/ respect to the prior gΘ(θ) is define as______________E[∏(θ)ιX1,X2,…..,Xn] is called?
A. Posterior Bay’s estimator
B. Minimax estimator
C. Bay’s estimator
D. Sufficient estimator
