Where does epsilon come from in the lim e^n part? is it acting as for the exponential distribution?
Where does epsilon come from in the lim e^n part? is it acting as for the...
16. lim n-> inf 24. Find the limit of the sequence 25. lim n-> inf . limit= We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Let X1, X2,.......Xn be a random sample of size n from a continuous distribution symmetric about . For testing H0: = 10 vs H1: < 10, consider the statistic T- = Ri+ (1-i), where i =1 if Xi>10 , 0 otherwise; and Ri+ is the rank of (Xi - 10) among |X1 -10|, |X2-10|......|Xn -10|. 1. Find the null mean and variance of T- . 2. Find the exact null distribution of T- for n=5. We were unable to transcribe this imageWe were...
Suppose n independent, identically distributed observations are drawn from an exponential () distribution, with pdf given by f(x,)=, 0 < x < . The data are x1, x2, .. , xn Construct a likelihood ratio hypothesis test of Ho : vs H1: (where and are known constants, with ), where the critical value is taken to be a constant c We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were...
Test for convergence or divergence of the series and identify the test used. In(n) n n = 2 O diverges by the Direct Comparison Test O converges by the Direct Comparison Test O converges by the p-Series Test O diverges by the p-Series Test Determine the convergence or divergence of the series. (If you need to use co or -, enter INFINITY or -INFINITY, respectively.) 00 į (-1)"(4n – 1) 3n + 1 n = 1 4n - 1 lim...
Prove the ratio test . What does this tell you if exists? (Ratio test) If for all sufficiently large n and some r < 1, then converges absolutely; while if for all sufficiently large n, then diverges. lim |.1n+1/01 700 In+1/xn < We were unable to transcribe this image2x+1/2 > 1 We were unable to transcribe this image
Derive the moment generating function of y= a x1+b x2, where y~ N( a 1 + b2 , a2 12 +b222 + 2ab cov(x1, x2) ), not both a and b equal to zero. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Let X1, X2, ..., Xn be a random sample of size n from the distribution with probability density function To answer this question, enter you answer as a formula. In addition to the usual guidelines, two more instructions for this problem only : write as single variable p and as m. and these can be used as inputs of functions as usual variables e.g log(p), m^2, exp(m) etc. Remember p represents the product of s only, but will not work...
Independent random samples X1, X2, . . . , Xn are from exponential distribution with pdfs , xi > 0, where λ is fixed but unknown. Let . Here we have a relative large sample size n = 100. (ii) Notice that the population mean here is µ = E(X1) = 1/λ , population variance σ^2 = Var(X1) = 1/λ^2 is unknown. Assume the sample standard deviation s = 10, sample average = 5, construct a 95% large-sample approximate confidence...
(6) The sequence of random variable are independent of each other and they follow the normal distribution . However, the actual value of were not observed, instead we only observed if each is either greater than or equal to 0, or less than 0. And you can use the fact that there is the inverse function that is continuous. Answer the following questions. Find the maximum likelihood estimator of . When , show , where represents conversion of probability....
Let be a sequence of random variables, and let Y be a random variable on the same sample space. Let An(ϵ) be the event that |Yn − Y | > ϵ. It can be shown that a sufficient condition for Yn to converge to Y w.p.1 as n → ∞ is that for every ϵ > 0, (a) Let be independent uniformly distributed random variables on [0, 1], and let Yn = min(X1, . . . , Xn). In class,...