LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
M.Sc. DEGREE EXAMINATION – STATISTICS
THIRD SEMESTER – NOVEMBER 2012
ST 3812 – STOCHASTIC PROCESSES
Date : 03/11/2012 Dept. No. Max. : 100 Marks
Time : 9:00 – 12:00
SECTION – A
Answer all the questions: (10 x 2 = 20 Marks)
- Define a point process.
- Define n step transition probability.
- Write any two basic properties of the period of a state.
- If i « j and if i is recurrent then show that j is also recurrent.
- Define mean recurrence time.
- What is the infinitesimal generator of a birth and death process?
- Define excess life and current life of a renewal process.
- Define a sub martingale.
- Write down the postulates of a birth and death process.
- Write down any two examples for stationary process.
SECTION – B
Answer any Five questions: (5 x 8 = 40 Marks)
- Explain (i) process with stationary independent increments (ii) Markov processes.
- Explain spatially homogenous Markov chains.
- Prove that a state i is recurrent if an only if
å Piin = ∞
- For a two dimensional random walk, prove that å P00n = ∞
- Determine stationary probability distribution for a random walk whose transition probability matrix is
0 1 0 0 . . .
q1 0 p1 0 . . .
0 q2 0 p2 . . .
P = .
.
.
-2-
- Derive Pn (t) for a Poisson process.
- Derive the expected value of a birth and death process with linear growth and immigration.
- State and prove the basic renewal theorem.
SECTION – C
Answer any two questions: (2 x 20 = 40 Marks)
- (a) State and prove the basic limit theorem of Markov chains.
(b) Explain discrete renewal equation. (15 + 5)
- (a) Derive the differential equations for a pure birth process.
(b) Derive the Kolmogorov forward and backward differential equations of a birth and
death process. (10 +10)
- (a) Explain renewal function, excess life, current life and mean total life.
(b) If {Xt}is a renewal process with μ = E [Xt] < ∞ , then show that
lim 1/t M (t) = 1/μ as t ® ∞ (8 + 12)
- (a) Show that π is the smallest positive root of the equation j(s) = s
for a branching process.
(b) Compute expectation and variance of branching process. (10 + 10)
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