Let X_1,X_2,……… X_10 be an independent random sample of size n=10 from a population having mean μ=8 and variance σ^2=4. Consider the following estimators of μ: μ ̂_1=X ̅ and μ ̂_2=2X_1-X_2.
Check unbiasedness of above estimators. If biased find the amount of bias.
Determine the variance of the estimators.
Find the relative efficiency and identify the best estimators.
Let X_1,X_2,……… X_10 be an independent random sample of size n=10 from a population having mean...
Let X_1, X_2, ..., X_21 be a random sample from a normal distribution with µ = 10, σ^2 = 4. Using the chi-square distribution, find P(2 < S^2 < 8)
Please give detailed steps. Thank you.
5. Let {X1, X2,..., Xn) denote a random sample of size N from a population d escribed by a random variable X. Let's denote the population mean of X by E(X) - u and its variance by Consider the following four estimators of the population mean μ : 3 (this is an example of an average using only part of the sample the last 3 observations) (this is an example of a weighted average)...
Let X1, X2,
X3, and X4 be a random
sample of observations from a population with mean μ and
variance σ2. The observations are independent because
they were randomly drawn. Consider the following two point
estimators of the population mean μ:
1 = 0.10 X1 + 0.40
X2 + 0.40 X3 + 0.10
X4 and
2 = 0.20 X1 + 0.30
X2 + 0.30 X3 + 0.20
X4
Which of the following statements is true?
HINT: Use the definition of...
7-27. Let X1, X2,..., X, be a random sample of size n from a population with mean u and variance o?. (a) Show that X² is a biased estimator for u?. (b) Find the amount of bias in this estimator. c) What happens to the bias as the sample size n increases?
, X, be a random sample from a population with mean μ and variance Show let XI. . . . , 5.4.8. that ¡2 -X* is a biased estimator of that-T 2, and compute the bias.
Let X = (X1, . . . , Xn) be a random sample of size n with mean μ and variance σ2. Consider Tm i=1 (a) Find the bias of μη(X) for μ. Also find the bias of S2 and ỡXX) for σ2. (b) Show that Hm(X) is consistent. (c) Suppose EIXI < oo. Show that S2 and ỡXX) are consistent.
Let X = (X1, . . . , Xn) be a random sample of size n with mean μ...
Consider a random sample of size n from an infinite population
with mean μ and variance σ2.
6. Consider a random sample of size n from an infinite population with mean μ and variance σ2. (a) Find the method of moments estimator for μ in terms of the sample moments (b) Find the method of moments estimator for σ2 in terms of the sample moments.
Let X1, ..., X10 be a random sample from a population with mean y and variance o2. Consider the following estimators for je: X1 + ... + X10 ë 2 3X1 - 2X3 +3X10 10 2 Are these estimators unbiased (i.e. is their expectation equal to u)? A. Both estimators are unbiased. B. Both estimators are biased. C. Only the second is unbiased. D. Only the first is unbiased. E. Insufficient information.
Let X1, ..., X10 be a random sample from a population with mean y and variance o?. Consider the following estimators for ji: X1 +...+ X10 3X1 - 2X3 + 3X10 Ô1 = @2 10 2 Are these estimators unbiased (i.e. is their expectation equal to u)? A. Both estimators are unbiased. C. Only the second is unbiased. E. Insufficient information. B. Both estimators are biased. D. Only the first is unbiased.
Let X1,..., X10 be a random sample from a population with mean u and variance o2. Consider the following estimators for pe: X1 + ... + X10 ê 3X1 - 2X5 +3X10 10 2 Are these estimators unbiased (i.e. is their expectation equal to u)? A. Both estimators are unbiased. C. Only the second is unbiased. E. Insufficient information. B. Both estimators are biased. D. Only the first is unbiased.