Let Xi,.., Xn be a sample from Poisson(0) distribution. Consider testing where θ° is a given...
Let Xi, ,Xn be a sample from N(μ, σ2) and assume that both parameters are unknown. Consider testing where μοισ., are given constants. Use LRT to derive the general form of the intersection-union rejection region in its simplest form. Identify the exact dis- tribution of statistics in the intersection-union rejection region . Hint: Use the fact that when the sample is from a Normal distribution, sample mean and sample variance are statistically independent.
Let Xi, ,Xn be a sample from...
Suppose that Xi, X2,..., Xn is an iid sample from r > 0 where θ 0. Consider testing Ho : θ-Bo versus H1: θ (a) Derive a size α likelihood ratio test (LRT). (b) Derive the power function P(0) of the LRT. θο, where θο is known. (c) Now consider putting an inverse gamma prior distribution on θ, namely, 1 00), a 4a where a and b are known. Show how to carry out the Bayesian test (d) Is the...
xn be i.id. from the Pareto distribution Pa(θ, c), θ Let Xi 0 (a) Derive a ÚMP test of size α for testing Ho : θ θ when c is known. versus Hi :
xn be i.id. from the Pareto distribution Pa(θ, c), θ Let Xi 0 (a) Derive a ÚMP test of size α for testing Ho : θ θ when c is known. versus Hi :
Let Xi, c〉0. Xn be i.i.d. from the Pareto distribution Pa(θ.e), θ 〉 0 Derive a ÙNIP test of size α for testing Ho : θ-Bo, c co versus 0, C > Co
Let Xi, c〉0. Xn be i.i.d. from the Pareto distribution Pa(θ.e), θ 〉 0 Derive a ÙNIP test of size α for testing Ho : θ-Bo, c co versus 0, C > Co
Let Xi, c〉0. Xn be i.i.d. from the Pareto distribution Pa(θ.e), θ 〉 0 Derive a ÙNIP test of size α for testing Ho : θ-Bo, c co versus 0, C > Co
Let Xi, c〉0. Xn be i.i.d. from the Pareto distribution Pa(θ.e), θ 〉 0 Derive a ÙNIP test of size α for testing Ho : θ-Bo, c co versus 0, C > Co
Let X1, . . . , Xn ∼ Exp(θ) and consider the test for H0 : θ ≥ θ_0 vs H1 : θ < θ_0. (a) Find the size-α LRT. With rejection region, R = {sample mean > c} where c will depend on a value from the χ ^2 df=2n distribution. (b) Find the appropriate value of c.
xercise 7.5: Suppose Xi, X2, ..., Xn are a random sample from the u distribution U(9-2 ,0+ ), where θ e (-00, Exercise 7.5: Suppose X1, X2, . .. , sufficient for θ. a) Show that the smallest and largest of Xi, ..., Xn are jointliy (b) If p@-constant, θ e (-00, oo), is the prior distribution of θ, find its posterior distribution
xercise 7.5: Suppose Xi, X2, ..., Xn are a random sample from the u distribution U(9-2 ,0+...
4. Let Xi, , Xn be iid sample from a Poisson population with parameter λ. (a) Construct an confidence interval for λ by inverting an LRT (b) The following data, the number of aphids per row in nine rows of a potato field, can be assumed to follow a Poisson distribution: 155, 104, 66, 50, 36, 40, 30, 35, 42. Use these data to construct a 90% LRT confidence interval for the mean number of aphids per row.
2. Suppose that Xi, , Xn, n-: 25, form a random sample from a normal distribution with mean θ and variance 4. Consider the following hypotheses at α-0.05 Ho : θ-0 versus H1 : θ > 0. Derive the power function, π( 5), and evaluate it at θ--04,-02, 0,02, 0.4, 0.6, 0.8, 1.
2. Suppose that Xi, , Xn, n-: 25, form a random sample from a normal distribution with mean θ and variance 4. Consider the following hypotheses at...