Really great job. Thank you so much. I really love it. Thank you so much for all of your help.
5. Let X1, X2, …, Xn be n uncorrelated observations of the random variable X, which has a distribution with population mean E(X) and variance 2. For any linear estimator W of E(X), we can write W = a1X1 + a2X2+ … + anXn, where the ai are all constants (numbers). A) What restriction on the ai terms is needed for W to be an unbiased estimator of E(X)? (1 point) a1 needs to be a constant and sum up to 1 b) At a party this Friday night, one of your friends proposes the following estimator for E(X) for a sample of 4 people: W = (1/2)*X1 +(1/6)*X2+ (1/6)*X3 + (1/6)*X4 Is this estimator unbiased? What is the variance of this estimator, and is it efficient? (Hint: what is the variance of the sample mean?) What do you tell your friend about this idea?
Show more
Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.
Read moreEach paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.
Read moreThanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.
Read moreYour email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.
Read moreBy sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.
Read more