Amazon cover image
Image from Amazon.com

(An) Introduction to probability v-I : theory and its applications / by William Feller.

By: Feller, William.
Material type: TextTextPublisher: New Delhi : John Wiley & Sons, , 1968.Edition: 3rd. ed.Description: v-I[xviii, 509p] 23cm.ISBN: 9788126518050.Subject(s): MATHEMATICS | STATISTICSDDC classification: 519.5 Fe336 v-I
Contents:
The 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
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode
Books Books HCC Central Library General Stacks 519.5 Fe336 v-I (Browse shelf(Opens below)) Available c14447
Books Books HCC Central Library General Stacks 519.2 Fe336 v-I (Browse shelf(Opens below)) Available c13430
Books Books HCC Seminar Library General Stacks 519.2 FIE v-I (Browse shelf(Opens below)) Available 7600

Includes index

The 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

There are no comments on this title.

to post a comment.
Copyright © 2018 Heramba Chandra College | Data Sharing License CC-BY-NC-ND | Powered by Koha | Customised by Bengal Library Association
Visitors Count