MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03238nam a2200337 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
CSPC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230809150641.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230807s2022 nju b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2021031022 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781118123331 |
| Qualifying information |
(hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
CSPC |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA273 |
| Item number |
.B254727 2022 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.2 |
| Item number |
B182i |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Balakrishnan, N., |
| Dates associated with a name |
1956- |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Introduction to probability : |
| Remainder of title |
multivariate models and applications / |
| Statement of responsibility, etc. |
N. Balakrishnan, Markos V. Koutras, and Konstantinos G. Politis. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Second edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Hoboken, New Jersey : |
| Name of producer, publisher, distributor, manufacturer |
John Wiley and Sons, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xv, 528 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
26 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Two-dimensional discrete random variables and distributions -- Two-dimensional continuous random variables and distributions -- Independence and multivariate distributions -- Transformations of variables -- Covariance and correlation -- Important multivariate distributions -- Generating functions -- Limit theorems. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Probability theory is the branch of mathematics concerned with analysis of random phenomena. The central objects of probability theory are random variables, stochastic processes, and events: mathematical abstractions of non-deterministic events or measured quantities that may either be single occurrences or evolve over time in an apparently random fashion. Although an individual coin toss or the roll of a die is a random event, if repeated many times the sequence of random events exhibits certain statistical patterns, which can be studied and predicted. Two representative mathematical results describing such patterns are the law of large numbers and the central limit theorem. As a mathematical foundation for statistics, probability theory is essential to many human activities that involve quantitative analysis of large sets of data. Methods of probability theory also apply to descriptions of complex systems given only partial knowledge of their state, as in statistical mechanics. The multivariate normal distribution or multivariate Gaussian distribition, is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions. A random vector is said to be multivariate normally distributed if every linear combination of its components has a univariate normal distribution. The multivariate normal distribution is often used to describe, at least approximately, any set of (possibly) correlated real-valued random variables, each of which clusters around a mean value"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Probabilities |
| Form subdivision |
Textbooks. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Koutras, Markos V., |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Konstantinos, Politis, |
| Dates associated with a name |
1966- |
| Relator term |
author. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Balakrishnan, N., 1956- |
| Title |
Introduction to probability |
| Edition |
Second edition. |
| Place, publisher, and date of publication |
Hoboken, NJ : Wiley, 2022 |
| International Standard Book Number |
9781118548622 |
| Record control number |
(DLC) 2021031023 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Classification part |
519.2 |
| Item part |
B182i |
| Call number prefix |
CIR |
| Call number suffix |
2022 |
| Suppress in OPAC |
No |
| Edition |
23 |