Asymptotic Properties of MLES ... 'F Let X₁, X2, X3, Xn be a random sample from a distribution with a parameter 8. Let ML denote the maximum likelihood estimator (MLE) of 0. Then, under some mild regularity conditions, 1. ML is asymptotically consistent, i.e., - lim P(|ÔML − 0| > e) = 0. 11-700 2. ML is asymptotically unbiased, i.e., lim E[ML] = 0. 12-00 precisely, the random variable 3. As n becomes large, ML is approximately a normal random variable. More ML-0 √Var(OML) converges in distribution to N(0, 1).

Q: What is the correct answer ? I have to show work.

A: Given Information: Sample size (n) = 22  Mean (u) = 12 Standard deviation (s) = 5.4

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A: The dilation of a given point P(x,y) by factor K, centered at C(a,b), moves the point to P'(x',y')…

Q: How did you get those answers?

A: Since here we have two variables p and q, they can take values True (T) and False (F) each.  So, the…

Q: Why I cannot find that answer? Can you label the answer out?

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Q: he answer is still wrong

A: Sol:-We need to use Bayes' theorem to calculate this probability.  Let A be the event that Stage 3…

Q: What is your answer? Can you write it clearly?

A: Given that,Let P be the set of all vectors of the form 7s+2tst , where s and t are arbitrary.We need…

Q: answer question 4.

A:

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A:

Q: I need help solving this question.

A: You need to know this before solving the question.

Q: How do you get those answers?

A: 3-point throw  n= 3 Possible outcomes : 3 free throw ,  0 missing = (3,0) 2 free throw , 1 missing =…