Find the maximum likelihood estimator of e".
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A: It is known that, Xi~ U(θ,0) P.d.f. of uniform distribution, f(x)= 1/(θ-0) ; 0<x<θ = 1/θ…
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- Suppose that Y1, . . . , Yn is a random sample from a population whose density function isIf X has a uniform density with α = 0 and β = 1, show that the random variable Y = −2. In X has a gamma dis-tribution. What are its parameters?he length of time, in minutes, for an airplane to obtain clearance for takeoff at a certain airport is a random variable Y = 3X-2, where X has the density function. Find the mean and variance of the random variable Y.
- The random variable Y is defined by Y = - (X + \X1), where X is another RV. %3D Determine the density and distribution function of Y in terms of those of X. 44Normal distribution. The moment generating function of a random variable U is M(t) = (1 - 8t)^-7. Find: i)Probability density function, ii)Mean, iii)Variance of U.Let X be the random variable with the density function f(x) given by if z >0 2.2 3.2 f(x) = (1+z)" otherwise Find the mean of X. Find the variance of X.
- Suppose the random variable Y has an exponential distribution with mean 2. Use the method of transformations to find the density function of U=(1/5)Y+3Let x be a continuous random variable with the density function: f(x) = 3e-3x when x>0 and 0 else Find the variance of the random variable x.Let X and Y random variables have independent Gamma distributions with X-Gamma(1, 6) and Y-Gamma(2, B). a. Find the joint probability density of Z, = X + Y, Z, = X+Y a. Find the marginal pdf of Z2.
- Derive a large-sample 95% confidence interval for the maximum likelihood estimator of a.Assume that x,, . .. , Xn are the realization of the random samples X, ... , Xn with pdf or pmf fo. Find the UMP of Ho : 0 = 0 versus H, : 0 = 0, . for 0, > 0o fe(x) is density of normal with mean 0 and known o. fe(x) is density of normal with known mean u and variance 0 = o² .An instrument is used to measure very small concentrations, X, of a certainchemical in soil samples. Suppose that the values of X in those soils in which thechemical is present is modeled as a random variable with density function f (x).The assay of a soil reports a concentration only if the chemical is first determinedto be present. At very low concentrations, however, the chemical may fail tobe detected even if it is present. This phenomenon is modeled by assuming thatif the concentration is x, the chemical is detected with probability R(x). Let Ydenote the concentration of a chemical in a soil in which it has been determinedto be present. Show that the density function of Y isg(y) = R(y) f (y)/An instrument is used to measure very small concentrations, X, of a certainchemical in soil samples. Suppose that the values of X in those soils in which thechemical is present is modeled as a random variable with density function f (x).The assay of a soil reports a concentration only if the…