Loyola College M.Sc. Mathematics April 2006 Mathematical Statistics – II Question Paper PDF Download

             LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

M.Sc. DEGREE EXAMINATION – MATHEMATICS

AC 50

FOURTH SEMESTER – APRIL 2006

                                              ST 4900 – MATHEMATICAL STATISTICS – II

(Also equivalent to ST 4953)

 

 

Date & Time : 03-05-2006/9.00-12.00         Dept. No.                                                       Max. : 100 Marks

 

 

SECTION-A    (10 ´ 2 = 20)

Answer ALL questions.  Each question carries 2 marks.

  1. Let T have a t-distribution with 10 degrees of freedom. Find P(|T|  > 2.228).
  2. Find the variance of S2 = (1/n) ∑ ( xi – x )2 , when X1, X2,…., Xn is a random sample      from N(µ , σ2 ).
  3. How do you obtain the joint p.d.f. of any two order statistics Yr and Ys when Yr < Ys ?
  4. What do you understand by a sufficient statistic for a parameter?
  5. Define: UMVUE.
  6. State Rao-Cramer Inequality.
  7. Distinguish between randomized and non-randomized tests.
  8. Illustrate graphically, the meaning of UMPT of level α test.
  9. Define a renewal process.
  10. When do you say that a stochastic matrix is regular?

SECTION-B   (8 x 5 = 40)

Answer any 5 questions.  Each question carries 8 marks.

 

  1. Let and S2 be the mean and the variance of a random sample of size 25 from a distribution N (3, 100).   Evaluate P (0 < < 6, 55.2 < S2 < 145.6).
  2. Derive the central F-distribution with (r1, r2) degrees of freedom.
  3. Let Y1 < Y2 < Y3 be the order statistics of a random sample of size 3 from the uniform distribution having p.d.f.
    f(x; θ ) = 1/θ, 0 < x < θ, 0 < θ < ∞, zero elsewhere.  Show that 4Y1, 2Y2 and (4/3)Y3 are all unbiased estimators of θ.  Find the variance of  (4/3)Y3.
  4. If az2 + bz + c = 0 for more than two values of z, then show that a = b = c = 0. Use this result to show that the family{ B(2, p): 0 < p < 1}  is complete.
  5. State and prove Lehmann-Scheffe’s theorem.
  6. Let X have a p.d.f. of the form f(x; θ) = θ xθ-1 , 0 <x < 1,  θ =1,2, zero elsewhere.  To test H0 : θ =1 against H1: θ =2, use a random sample X1, X2 of size n = 2 and define the critical region to be C = { (x1, x2) : ¾ ≤ xx2 }.  Find the power function of the test.
  7. Prove or disprove: “UMPT of level α always exists for all types of testing problems”. Justify your answer.
  8. A certain genetic model suggests that the probabilities of a particular trinomial distribution are, respectively, p1 =p2, p2 = 2p (1-p), and p3 = (1-p)2 , where  0 < p < 1.   If X1, X2, X3 represent the respective frequencies in ‘n’ independent trials, explain how we could check on the adequacy of the genetic model.

 

SECTION-C       ( 20 ´ 2 = 40 )

Answer any 2 questions. Each question carries 20 marks.

  1. a) State and prove Factorization theorem. (12)
  2. b) Given the p.d. f.  f(x; θ) = 1 / ( π [1 + ( x – θ)2 ) , -∞ < x  < ∞ , -∞ < θ <  ∞. Show that the Rao-Cramer lower bound  is 2/n, where n is the size of a random sample from this Cauchy distribution. (8)

 

  1. a) State and prove the sufficiency part of Neyman-Pearson theorem. (12)
  2. b) Let X1, X2,…, Xn denote a random sample from a distribution having the p.d.f.
    f(x; p) = px (1-p)1-x , x = 0,1, zero, elsewhere.  Show that C =  { (x1, …,xn) :  Σ xi ≤ k }is a best critical region for testing H0: p = ½ against  H1: p = 1/3. Use the central limit theorem to find n and k so that approximately the level of the test is 0.05 and the power of the test is 0.9. (8)

 

  1. a) Derive the likelihood ratio test for testing H0: θ1=0, θ2 > 0 against
    H1: θ1 ≠ 0,  θ2 >0  when a random sample of size n is drawn from N(θ1 , θ2 ). (12)
  2. b) By giving suitable examples, distinguish between unpaired and paired t-tests. (8)

 

  1. a) Show that the Markov chain is completely determined by the transition matrix and the initial distribution. (8)
  2. b) Give an example of a random walk with an absorbing barrier.  (4)
  3. c) Explain in detail the properties of a Poisson process. (8)

 

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