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Madurai Kamraj University (MKU) 2006 M.Sc Mathematics "MATHEMATICAL STATISTICS" - Question Paper

Friday, 05 April 2013 01:20Web


This Is for the MK DDU - "MSC Maths In in MKU", and please Refer to the Attached File,

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It's For "Msc in MATHS in MKU", It'a Course in "Madurai Kamaraj University" or %MK University%

The paper Name Is "MATHEMATICAL STATISTICS"


6560/KA5    october 2007

Paper V MATHEMATICAL STATISTICS

Maximum : 100 marks

Time : Three hours


(For those who joined in July 2003 and after)


SECTION A (4 x 10 = 40 marks)

Answer any FOUR questions.

1.    State and prove Chebyshev's inequality.

2.    With usual assumptions, prove that X1 and X2

are stochastically independent if and only if M(tltt2) - M(j, 0) M(0, t2)

3.    If Y is b(n,p), prove that

f

Y

--P

<

V

n

4. Find the mgf, mean and variance of gamma distribution.

continuous random variable, find the pdf of 8X3 .


5. If    is the pdf of a

re,


6.    If Y1,Y2,Y3 is the order statistics of a random sample of size 3 from a distribution having pdf

/(*) = j1 0<x<1 find the pdf of Zx = YZ -Y1.

[0, elsewhere,

7.    Find the confidence intervals for means with known variance cr2.

8.    If S2 is the variance of a random sample of size n > 1 from a distribution that is n(/u, 0),O < 0 < , what

nS2

is the efficiency of the estimator-?

n -1

SECTION B (3 x 20 = 60 marks)

Answer any THREE questions.

9.    (a) State and prove any four properties of a distribution function.

<2

(b) If X has the mgf M (t) = e2, - <t < , find the expectation of all powers ofX

10.    If X and Y are continuous random variables with joint pdf fix, y),

(a)    find the conditional mean of Y, given X - x (if it is linear)

(b)    variance of the conditional distribution.

\

11.    If X1 and X2 are two samples froma distribution

u    \ f1- 0<<1    I

with pdf fix) = <    *

[0, elsewhere,

(a)    find the joint pdf of Y1 = Xl + X2 and

Y2= x,-x2

(b)    find the marginal pdf of Y1 and Y2.

12.    (a) Derive Student's -distribution.

(b) If Zn is j2(/i), prove that Yn ={Zn -n)/*j2n has a limiting normal distribution with mean 0 and variance 1.

13.    (a) State and prove Neyman-Pearson theorem.'

(b) If X is b(n, p) and Y = , prove that

-Jnpq

Y2 is x2 (1) approximately.

14.    (a) State and prove Rao-Cramer inequality.

(b) If X1,X2, ,Xn is a random sample from a Poisson distribution with mean 6 > 0 , find an efficient estimator of Q.

3    RRRfUU AS

1

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