A first look at rigorous probability theory (Record no. 35466)

000 -LEADER
fixed length control field 01959 a2200217 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241016122142.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241009b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789812703712
040 ## - CATALOGING SOURCE
Original cataloging agency ICTS-TIFR
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA273. R784
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Jeffery S. Rosenthal
245 ## - TITLE STATEMENT
Title A first look at rigorous probability theory
250 ## - EDITION STATEMENT
Edition statement 2nd Ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. World Scientific Publishing Co. Pte. Ltd.
Place of publication, distribution, etc. Singapore:
Date of publication, distribution, etc. [c2006]
300 ## - Physical Description
Pages: 219 p.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. The Need for Measure Theory<br/>2. Probability Triples<br/>3. Further Probabilistic Foundations<br/>4. Expected Values<br/>5. Inequalities and Convergence<br/>6. Distributions of Random Variables<br/>7. Stochastic Processes and Gambling Games<br/>8. Discrete Markov Chains<br/>9. More Probability Theorems<br/>10 Weak Convergence<br/>11. Characteristic Functions<br/>12. Decomposition of Probability Laws<br/>13. Conditional Probability and Expectation<br/>14. Martingales<br/>15. General Stochastic Processes
520 ## - SUMMARY, ETC.
Summary, etc. This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields (mathematics, statistics, economics, management, finance, computer science, and engineering) who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities. The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. In this new edition, many exercises and small additional topics have been added and existing ones expanded. The text strikes an appropriate balance, rigorously developing probability theory while avoiding unnecessary detail. --- 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 Inventory number Full call number Accession No. Checked out Koha item type
        Mathematics ICTS Rack No 5 10/09/2024 IN334 dt.7 Oct 2024 QA273 .R784 02858 12/27/2024 Book