Loyola College M.Sc. Statistics Nov 2006 Measure And Probability Theory Question Paper PDF Download

                      LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034

M.Sc. DEGREE EXAMINATION – STATISTICS

AB 18

FIRST SEMESTER – NOV 2006

ST 1809 – MEASURE AND PROBABILITY THEORY

 

 

Date & Time : 28-10-2006/1.00-4.00    Dept. No.                                                       Max. : 100 Marks

 

 

 

Part A

Answer all the questions.                                                                            10 X 2 = 20

 

  1.  Define minimal s – field.
  2. Explain Lebesgue measure with an example.
  3. What is a set function?
  4. What is positive part and negative part of a borel measurable function?
  5. State Randon – Nikodym theorem
  6. Show that a random variable need not necessarily be a discrete or continuous type.
  7. Define almost everywhere convergence.
  8. State Holder’s inequality.
  9. Describe a simple function with an example.
  10. If Xn  X and g is continuous then show that g(Xn)  g (X).

 

Part B

 

Answer any five questions.                                                                           5 X 8 = 40

 

  1. Show that countable additivity of a set function with m(f) = 0 implies finite additivity of a set function.
  2. Show that a counting measure is a complete measure on a s – field.
  3. Let F be the distribution function on R given by

0          if   x < -1

1 + x    if   -1 £ x < 0

F(x) =           2 + x2   if   0£ x < 2

9          if   x ³ 2.

If m is the Lebesgue – Stieltjes measure corresponding to F, compute the measure

of the set { x: ÷ x÷ + 2x2 > 1}.

  1. Let f be B-measurable and if f = 0 a.e. [m]. Then show that f dm = 0.
  2. State and establish additivity theorem of integral.
  3. State and establish Minkowski’s inequality.

 

 

  1. If XnX then show that (Xn2 + Xn) (X2 + X).
  2. Describe Central Limit theorem and its purpose.

 

Part C

 

Answer any two questions.                                                                         2 X 20 = 40

 

  1. a). If { Ai , i ³ 1) is a sequence of subsets of a set W then show that

Ai = (A i  – A i – 1).

b). Show that a monotone class which a field is s – field.                          (10 +10)

  1. a). State and establish basic integration theorem.

b). If hdm exists then show that ½hdm ½£ ïh ïdm                           (12 + 8)

  1.  a). State and establish monotone class theorem.

b). If    Xn  X  then show that E½Xn½r   E½X½r  as n ® ¥. (12+ 8)

  1. a). Show that Liapunov’s Central Limit theorem is a particular case of

Lindeberg’s Central Limit theorem.

b). State and establish Levy’s theorem.                                                       (8 + 12)

 

 

 

 

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