Question

In: Statistics and Probability

3. Let Y be a singleobservation from a population with density function. f(y)=  2y/θ2 0 ≤ y...

3. Let Y be a singleobservation from a population with density function.

f(y)=  2y/θ2 0 ≤ y ≤ θ  

f(y)=  0     elsewhere

(a) Find the MLE for θ.

(b) Is the MLE found in (a) also a MVUE of θ? Justify your answer.

(c) Show that Y/ θis a pivotal quantity for θ.

(d) Use the pivotal Y /θ to find a 100(1 − α)% upper confidence interval for θ, which is of form (−∞, θˆU ).

For the following questions, suppose for some θ0 > 0, we wish to test H0 :θ = θ0v.s. H1 :θ < θ0 based on a single observation Y .

(e) Show that a level-α test has the rejection region given by ’reject H0if Y <θ0’.

(f) What is the connection between the lower confidence interval found in (b) and the rejection region found in (e)?

(g) Derive an expression for type II error probability βof the rejection region in (e). It will be a function of α, θ0 and θ1 a particular value of θ that less than θ0.

(h) Suppose θ0 = 1 and one observe Y = 0.1. Calculate the P-value.

Solutions

Expert Solution


Related Solutions

3. (Not Bayesian) Let Y have pdf fY (y, θ) = 2(θ − y)/θ2 if 0...
3. (Not Bayesian) Let Y have pdf fY (y, θ) = 2(θ − y)/θ2 if 0 < y < θ 0 otherwise . You are going to construct a confidence interval for θ based on a single observation Y . (a) Show that Y/θ is pivotal quantity. (b) Suppose Y = 6. Find (numerically) a 10% confidence interval for θ .
Let f(x, y) be a function such that f(0, 0) = 1, f(0, 1) = 2,...
Let f(x, y) be a function such that f(0, 0) = 1, f(0, 1) = 2, f(1, 0) = 3, f(1, 1) = 5, f(2, 0) = 5, f(2, 1) = 10. Determine the Lagrange interpolation F(x, y) that interpolates the above data. Use Lagrangian bi-variate interpolation to solve this and also show the working steps.
Consider the function f(x, y) = 3+xy−x−2y. Let D be the closed triangular region with vertices...
Consider the function f(x, y) = 3+xy−x−2y. Let D be the closed triangular region with vertices (1, 4), (5, 0), and (1, 0). Find the absolute maximum and the absolute minimum of f on D.
Let X and Y have the following joint density function f(x,y)=k(1-y) , 0≤x≤y≤1. Find the value...
Let X and Y have the following joint density function f(x,y)=k(1-y) , 0≤x≤y≤1. Find the value of k that makes this a probability density function. Compute the probability that P(X≤3/4, Y≥1/2). Find E(X). Find E(X|Y=y).
y''' + 2y'' − y' − 2y = sin(4t),  y(0) = 0,  y'(0) = 0,  y''(0) = 1
y''' + 2y'' − y' − 2y = sin(4t),  y(0) = 0,  y'(0) = 0,  y''(0) = 1
Let Y 1 ,...,Y n be a sample from the density f(y) = λ 2 ye...
Let Y 1 ,...,Y n be a sample from the density f(y) = λ 2 ye −λy , y > 0 where λ > 0 is an unknown parameter. (a) Find an estimator 'λ 1 of λ by Method of Moments (b) Find an estimator 'λ 2 of λ by Method of Maximum Likelihood. (c) Find an estimator 'λ 3 of λ that is a Sufficient estimator. Can you construct a Minimal Variance Unbiased Estimator? Justify.
Question : y''=4y'+8y=0 , (y''-4y'+13y)^2=0 , (y''+2y'+2y)^2=0 , y''-6y'+13y=0,y(0)=3 , y'(0)=13 , 2y''-6y'+17y=0,y(0)=2, y'(0)=13
Question : y''=4y'+8y=0 , (y''-4y'+13y)^2=0 , (y''+2y'+2y)^2=0 , y''-6y'+13y=0,y(0)=3 , y'(0)=13 , 2y''-6y'+17y=0,y(0)=2, y'(0)=13
f(x,y)=30(1-y)^2*x*e^(-x/y). x>0. 0<y<1. a). show that f(y) the marginal density function of Y is a Beta...
f(x,y)=30(1-y)^2*x*e^(-x/y). x>0. 0<y<1. a). show that f(y) the marginal density function of Y is a Beta random variable with parameters alfa=3 and Beta=3. b). show that f(x|y) the conditional density function of X given Y=y is a Gamma random variable with parameters alfa=2 and beta=y. c). set up how would you find P(1<X<3|Y=.5). you do not have to do any calculations
Let X1 and X2 be a random sample from a population having probability mass function f(x=0)...
Let X1 and X2 be a random sample from a population having probability mass function f(x=0) = 1/3 and f(x=1) = 2/3; the support is x=0,1. a) Find the probability mass function of the sample mean. Note that this is also called the sampling distribution of the mean. b) Find the probability mass function of the sample median. Note that this is also called the sampling distribution of the median. c) Find the probability mass function of the sample geometric...
Let be the following probability density function f (x) = (1/3)[ e ^ {- x /...
Let be the following probability density function f (x) = (1/3)[ e ^ {- x / 3}] for 0 <x <1 and f (x) = 0 in any other case a) Determine the cumulative probability distribution F (X) b) Determine the probability for P (0 <X <0.5)
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT