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