Assignment 3 - Mathematical Statistics | MATH 304, Assignments of Mathematical Statistics

Material Type: Assignment; Class: Mathematical Statistics; Subject: Mathematics; University: Bucknell University; Term: Unknown 1989;

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Math 304: Homework 3
Due: February 23
1. WMS 9.3 & 9.15: Let Y1,...,Yndenote a random sample from the uniform distribution on
the interval (θ, θ + 1). Let
ˆ
θ1=¯
Y1
2and ˆ
θ2=Y(n)n
n+ 1
where Y(n)= max{Y1,...Yn}is the largest order statistic.
(a) Show that both ˆ
θ1and ˆ
θ2are unbiased.
(b) Find the efficiency of ˆ
θ1relative to ˆ
θ2.
(c) Show that both ˆ
θ1and ˆ
θ2are consistent estimators of θ.
2. HMC 6.2.7: Let Xhave a gamma distribution with α= 4 and β=θ > 0.
(a) Find the Fisher information I(θ).
(b) If X1,...,Xnis a random sample from this distribution, show that the mle of θis an
efficient estimator of θ.
(c) What is the asymptotic distribution of n(ˆ
θθ)?
3. HMC 6.2.8: Let XN(0, θ),0< θ < .
(a) Find the Fisher information I(θ).
(b) If X1,...,Xnis a random sample from this distribution, show that the mle of θis an
efficient estimator of θ.
(c) What is the asymptotic distribution of n(ˆ
θθ)?
4. HMC 6.2.11: Let ¯
Xbe the mean of a random sample of size nfrom a N(θ, σ2) distribution,
−∞ < θ < , σ2>0.Assume that σ2is known. Show that ¯
X2σ2
nis an unbiased estimator
of θ2and find its efficiency.
5. HMC 6.2.14: Let S2be the sample variance of a random sample of size n > 1 from N(µ, θ ),0<
θ < , where µis known. We know that E(S2) = θ. What is the efficiency of S2?
6. WMS 9.100: Suppose that Y1,...,Ynconstitue a random sample of size nfrom an exponential
distribution with mean θ. Find an approximate 100(1 α)% confidence interval for θ2.
1

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Math 304: Homework 3

Due: February 23

  1. WMS 9.3 & 9.15: Let Y 1

,... , Y

n

denote a random sample from the uniform distribution on

the interval (θ, θ + 1). Let

θ 1

Y −

and

θ 2

= Y

(n)

n

n + 1

where Y (n)

= max{Y 1

,... Y

n

} is the largest order statistic.

(a) Show that both

θ 1 and

θ 2 are unbiased.

(b) Find the efficiency of

θ 1

relative to

θ 2

(c) Show that both

θ 1 and

θ 2 are consistent estimators of θ.

  1. HMC 6.2.7: Let X have a gamma distribution with α = 4 and β = θ > 0.

(a) Find the Fisher information I(θ).

(b) If X 1

,... , X

n

is a random sample from this distribution, show that the mle of θ is an

efficient estimator of θ.

(c) What is the asymptotic distribution of

n(

θ − θ)?

  1. HMC 6.2.8: Let X ∼ N (0, θ), 0 < θ < ∞.

(a) Find the Fisher information I(θ).

(b) If X 1

,... , X

n

is a random sample from this distribution, show that the mle of θ is an

efficient estimator of θ.

(c) What is the asymptotic distribution of

n(

θ − θ)?

  1. HMC 6.2.11: Let

X be the mean of a random sample of size n from a N (θ, σ

2 ) distribution,

−∞ < θ < ∞, σ

2

  1. Assume that σ

2 is known. Show that

X

2 −

σ

2

n

is an unbiased estimator

of θ

2 and find its efficiency.

  1. HMC 6.2.14: Let S

2 be the sample variance of a random sample of size n > 1 from N (μ, θ), 0 <

θ < ∞, where μ is known. We know that E(S

2 ) = θ. What is the efficiency of S

2 ?

  1. WMS 9.100: Suppose that Y 1

,... , Y

n

constitue a random sample of size n from an exponential

distribution with mean θ. Find an approximate 100(1 − α)% confidence interval for θ

2 .