LOYOLA COLLEGE (AUTONOMOUS), CHENNAI – 600 034
M.Sc. DEGREE EXAMINATION – STATISTICS
THIRD SEMESTER – APRIL 2012
ST 3812/3809 – STOCHASTIC PROCESSES
Date : 24-04-2012 Dept. No. Max. : 100 Marks
Time : 1:00 – 4:00
Section – A
Answer all the questions: 10 x 2 = 20 marks
- Define convergence in quadratic mean.
- Define periodicity and aperiodicity of a Markov chain.
- Give an example for a reducible Markov chain.
- Write the infinitesimal generator of a birth and death process.
- Write any two applications of Poisson process.
- Provide any two examples for renewal process.
- Define a super martingale.
- Define discrete time branching process.
- Write a note on stationary process.
- Write different types of stochastic processes.
Section – B
Answer any five questions: 5 x 8 = 40 marks
- Explain (i) martingale (ii) point process
- Explain one-dimensional random walk.
- (a) Show that a state i is recurrent if and only if iin = .
- If i j and if i is recurrent show that j is recurrent. (4+4)
- Derive Pn(t) for the Yule process with X(0) = 1.
- Derive the mean for a birth and death process if λn = nλ + a and μn = nμ with λ > 0 , μ >0 and a>0.
- Explain (i) renewal function (ii) excess life (iii) current life (iv) mean total life
- Explain Markov branching process with three examples.
- Write a note about (i) stationary process on the circle (ii) stationary Markov chains.
Section – C
Answer any two questions: 2 x 20 = 40 marks
- (a) Show that state 0 is recurrent for a two dimensional random walk.
(b) Derive the basic limit theorem of Markov chains. (5+15)
- For the gambler’s ruin on (n+1) states with P(Xn+1 = i+1 | Xn = i ) = p ,
P(Xn+1 = i-1 | Xn = i ) = q and 0 and n are absorbing states , calculate ui = i (C0 ) and v i ( Cn) .
- (a) Derive the differential equations for pure birth process.
(b) Derive Pn(t) for Yule process with X(0) = N. (10 + 10)
- (a) State and prove the basic renewal theorem.
(b) Derive mean and variance of branching process. (10 + 10)
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