An introduction to probability theory and its applications (Record no. 2098)

000 -LEADER
fixed length control field 01839nam a22002057a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241119172853.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 181116b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788126518050
040 ## - CATALOGING SOURCE
Transcribing agency Gift
Original cataloging agency ICTS-TIFR
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA273
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name William Feller
245 ## - TITLE STATEMENT
Title An introduction to probability theory and its applications
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. U.K.:
Name of publisher, distributor, etc. John Wiley & Sons,
Date of publication, distribution, etc. [c1957]
300 ## - Physical Description
Pages: 509 p
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction: The Nature of Probability Theory.<br/>2. The Sample Space.<br/>3. Elements of Combinatorial Analysis.<br/>4. Fluctuations in Coin Tossing and Random Walks.<br/>5. Combination of Events.<br/>6. Conditional Probability.<br/>7. The Binomial and Poisson Distributions.<br/>8. The Normal Approximation to the Binomial Distribution.<br/>9. Unlimited Sequences of Bernoulli Trials.<br/>10. Random Variables; Expectation.<br/>11. Laws of Large Numbers.<br/>12. Integral Valued Variables. Generating Functions.<br/>13. Compound Distributions. Branching Processes.<br/>14. Recurrent Events. Renewal Theory.<br/>15. Random Walk and Ruin Problems.<br/>16. Markov Chains.<br/>17. Algebraic Treatment of Finite Markov Chains.<br/>18. The Simplest Time-Dependent Stochastic Processes.
520 ## - SUMMARY, ETC.
Summary, etc. An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way. --- summary provided by publisher
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Shelving location Date acquired Full call number Accession No. Koha item type
          ICTS Rack No 5 11/16/2018 QA273 01439 Book