000 01301nam a22002417a 4500
020 _a9788126518050
_cRs.539.00
040 _aHCCL
041 _aeng
082 _a519.5 Fe336 v-I
100 _aFeller, William
245 _a(An) Introduction to probability v-I
_btheory and its applications
_cby William Feller.
250 _a3rd. ed.
260 _aNew Delhi
_bJohn Wiley & Sons,
_c1968.
300 _av-I[xviii, 509p]
_b23cm
500 _aIncludes index
505 _aThe nature of probability theory The sample space Elements of combinatorial analysis Fluctuations in coin tossing and random walks Combination of events Conditional probability. Stochastic Independence The binomial and the poisson distributions The normal approximation to the Binomial Distribution Unlimited sequences of Bernoulli trials Random variables; expectation Laws of Large numbers Integral valued variables. Generating functions Compound distributions. Branching processes Recurrent events. Renewal theory Random walk and ruin problems Markov chains Algebraic treatment of finite Markov chains The simplest time-dependent Stochastic processes
650 _aMATHEMATICS
650 _aSTATISTICS
942 _cBK
999 _c1126
_d1126