Probability theory I: Random variables and distributions (Record no. 1309069)

MARC details
000 -LEADER
fixed length control field 01713nam a2200241 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250417100909.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250417b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031631894
037 ## - SOURCE OF ACQUISITION
Terms of availability Textual
040 ## - CATALOGING SOURCE
Original cataloging agency RTL
Transcribing agency RTL
084 ## - COLON CLASSIFICATION NUMBER
Classification number B281 R4
Assigning agency RTL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pascucci, Andrea
9 (RLIN) 428382
245 ## - TITLE STATEMENT
Title Probability theory I: Random variables and distributions
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Switzerland
Name of publisher, distributor, etc. Springer
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 382 p. : ill.
Other physical details Includes bibliographical references and index
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Volume/sequential designation 165
490 ## - SERIES STATEMENT
Series statement Unitext
520 ## - SUMMARY, ETC.
Summary, etc. This book provides a concise yet rigorous introduction to probability theory. Among the possible approaches to the subject, the most modern approach based on measure theory has been chosen: although it requires a higher degree of mathematical abstraction and sophistication, it is essential to provide the foundations for the study of more advanced topics such as stochastic processes, stochastic differential calculus and statistical inference. The text originated from the teaching experience in probability and applied mathematics courses within the mathematics degree program at the University of Bologna; it is suitable for second- or third-year students in mathematics, physics, or other natural sciences, assuming multidimensional differential and integral calculus as a prerequisite. The four chapters cover the following topics: measures and probability spaces; random variables; sequences of random variables and limit theorems; and expectation and conditional distribution. The text includes a collection of solved exercises.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Variables
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Colon Classification (CC)
Suppress in OPAC No
Koha item type Textbook
Classification part B281 R4
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Colon Classification (CC)     Ratan Tata Library Ratan Tata Library 2025-04-17   B281 R4 RT1528401 2025-04-17 2025-04-17 Textbook
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