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Math 281A Homework 1: Convergence in Distribution and Maximum Likelihood Estimation, Assignments of Mathematics

probability and statistical inference

Typology: Assignments

2019/2020

Uploaded on 01/21/2023

Shashi123
Shashi123 🇮🇳

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Math 281A Homework 1
Due: Oct 10, in class
1. Suppose XnBinomial(n, pn), and limnnpn=λ>0. Show that Xn
d
Ð Poisson(λ).
2. Suppose Xnχ2
nwith ndegrees of freedom. Find anand bnsuch that
Xnan
bn
d
Ð N(0,1).
3. Let Y1,...,Ynbe i.i.d. samples from Uniform[0,1], and Y(1),...,Y(n)be the order statistics. Show
that n(Y(1),1Y(n))d
Ð (U, V ), where Uand Vare two independent exponential random variables.
4. Let X1,...,Xnbe i.i.d. samples from Uniform[θ, θ], and X(1),...,X(n)be order statistics. Show
that the following three statistics are asymptotically consistent estimators of θ.
(a) X(n);
(b) X(1);
(c) (X(n)X(1))/2.
5. A random variable Xnis said to follow a t-distribution with ndegrees of freedom, if XnnZ/Z2
1+...,Z2
n,
where Z, Z1,...,Znare i.i.d. from N(0,1). Show that Xn
d
Ð N(0,1).
6. Let X1,...,Xnbe i.i.d. from density fλ,a(x)=λeλ(xa), when xa, where λ>0 and aRare
unknown parameters. Find the MLE (ˆ
λn,ˆan)of (λ, a), and show that (ˆ
λn,ˆan)P
Ð (λ, a).

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Math 281A Homework 1

Due: Oct 10, in class

  1. Suppose Xn ∼ Binomial(n, pn), and limn→∞ npn = λ > 0. Show that Xn Ð→d Poisson(λ).
  2. Suppose Xn ∼ χ^2 n with n degrees of freedom. Find an and bn such that

Xn − an bn Ð→d N ( 0 , 1 ).

  1. Let Y 1 ,... , Yn be i.i.d. samples from Uniform[ 0 , 1 ], and Y( 1 ),... , Y(n) be the order statistics. Show that n(Y( 1 ), 1 − Y(n)) Ðd→ (U, V ), where U and V are two independent exponential random variables.
  2. Let X 1 ,... , Xn be i.i.d. samples from Uniform[−θ, θ], and X( 1 ),... , X(n) be order statistics. Show that the following three statistics are asymptotically consistent estimators of θ. (a) X(n); (b) −X( 1 ); (c) (X(n) − X( 1 ))~2.
  3. A random variable Xn is said to follow a t-distribution with n degrees of freedom, if Xn ∼

nZ~

Z^21 +... , Z n^2 , where Z, Z 1 ,... , Zn are i.i.d. from N ( 0 , 1 ). Show that Xn Ð→d N ( 0 , 1 ).

  1. Let X 1 ,... , Xn be i.i.d. from density fλ,a(x) = λe−λ(x−a), when x ≥ a, where λ > 0 and a ∈ R are unknown parameters. Find the MLE (ˆλn, ˆan) of (λ, a), and show that (λˆn, ˆan) ÐP→ (λ, a).