Show the distribution of x has non decreasing MLR and plot the power function of the test ( Reject H0if X< - σ Zαn+θ0 ) and explain why it is in a level ∝test
Show the distribution of x has non decreasing MLR and plot the power function of the...
Power function sample with joint pdf (or pmf) f (x |0), 0 e 0 c R. Suppose Let X1,..., X,n be a that {f(xn0) : 0 E 0} has monotone likelihood ratio (MLR) in T(X). Consider test function if T(xn)> c 1 if T(Xn) (Xn) C if T(xn)c 0 where y E [0, 1] and c > 0 are constants. Prove that the power function of ø(X,,) is non-decreasing in 0 sample with joint pdf (or pmf) f (x |0),...
, xn be a sample with joint pdf (or pmf) f(Xn10), θ 3. Let Xi, Θ C R. Suppose that {f(x,10) : θ E Θ} has monotone likelihood ratio (MLR) in T(Xn). Consider test function if T(%) > c Xn if T(%) < c, where γ E [0, 1) and c 〉 0 are constants. Prove that the power function of φ(Xn) is non-decreasing in θ , xn be a sample with joint pdf (or pmf) f(Xn10), θ 3. Let...
Advanced Statistics. 1. Assume that the daily profits X of a certain company has a normal distribution with unknown mean μ and standard deviation σ 8 and that we wish to test the Ho 10 against Hi:H< 10 (a) Suppose the the profits over a random sample of n 64 days will be observed Analyst A will reject Ho if the mean daily profits satisfies T <9; hypotheses by two analysts Analyst B will reject Ho if the mean daily...
3. Let X1,..Xn be a sample with joint pdf (or pmf) f(x,0), 0 e 0 c R. Suppose that {f(x, 0) 0 e 0} has monotone likelihood ratio (MLR) in T(X,). Consider test function if T(xn)> c if T(xn) c if T(x)<c 0 E [0,1 and c 2 0 are constants. Prove that the power function of ¢(X,) is where non-decreasing in 0 3. Let X1,..Xn be a sample with joint pdf (or pmf) f(x,0), 0 e 0 c R....
Real analysis: Show that if a function is non-decreasing and differentiable on an interval, then its derivative on this interval is non-negative.
If X ~ N(0, σ2), then Y function of Y is X follows a half-normal distribution; i.e., the probability density This population level model might arise, for example, if X measures some type of zero-mean difference (e.g., predicted outcome from actual outcome) and we are interested in absolute differences. Suppose that Yi, ½, ,y, is an iid sample from fy(ylơ2) (a) Derive the uniformly most powerful (UMP) level α test of 2 2 0 versus Identify all critical values associated...
Let X1,X2,,X be a random sample from a distribution function f(x,8) = θ"(1-8)1-r for x = 0,1 (a) Show that Y = Σ.1X, is a sufficient statistic for θ. (i) Find a function of Y that is an unbiased estimate for θ (ii) Hence, explain why this function is the minimum variance unbiased estimator(MVUE) for θ (c) Is1-the MVUE for Please explain.
We are looking to calculate the power of a one-sided test from n independent observations xi from a N (µ, σ2 ) distribution with a null hypothesis of H0 : µ = µ0 and an alternative H1 : µ > µ0. Supposing that we know σ2, we can form a test statistic T = (x¯ − µ0)/(σ/√n) and reject the null hypothesis when T > 1.645. This test has level α = 0.05. We want a formula for the power...
5. [4 bonus points) Let F be a continuously differentiable non-decreasing function on R with F' = f. Show that 1,6)dF(a) = 5,5(x)}(a)dx 2 A A for every non-negative function g on R and a Borel set A.
Let x be a random variable that represents hemoglobin count (HC) in grams per 100 milliliters of whole blood. Then x has a distribution that is approximately normal, with population mean of about 14 for healthy adult women. Suppose that a female patient has taken 10 laboratory blood tests during the past year. The HC data sent to the patient's doctor are as follows. 16 19 16 18 15 11 14 16 16 12 (i) Use a calculator with sample...