Bayesian data analysis / (Record no. 32334)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03139nam a22003737a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 17902843 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20221031044009.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221031b |||||||| |||| 00| 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2013039507 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781439840955 (hardback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MMU |
| Language of cataloging | eng |
| Transcribing agency | MMU |
| Description conventions | rda |
| Modifying agency | MMU |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA279.5 |
| Item number | .G45 2014 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5/42 |
| Edition number | 23 |
| 084 ## - OTHER CLASSIFICATION NUMBER | |
| Classification number | MAT029000 |
| Number source | bisacsh |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Gelman, Andrew, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Bayesian data analysis / |
| Statement of responsibility, etc. | Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Donald B. Rubin. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Third edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Boca Raton : |
| Name of producer, publisher, distributor, manufacturer | CRC Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 661 pages : |
| Other physical details | illustrations ; |
| Dimensions | 27 cm. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 490 0# - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC texts in statistical science |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references (pages 607-639) and indexes. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book"-- |
| Assigning source | Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Bayesian statistical decision theory. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | MATHEMATICS / Probability & Statistics / General. |
| Source of heading or term | bisacsh |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Cover image |
| Uniform Resource Identifier | <a href="http://images.tandf.co.uk/common/jackets/websmall/978143984/9781439840955.jpg">http://images.tandf.co.uk/common/jackets/websmall/978143984/9781439840955.jpg</a> |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | orignew |
| d | 1 |
| e | ecip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | L |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Maasai Mara University Library -Main Campus | Maasai Mara University Library -Main Campus | 10/28/2022 | Donation -Rattansi | 10500.00 | QA279.5 .G45 2014 | 22038956 | 10/31/2022 | 10/31/2022 | L | ||||||
| Library of Congress Classification | Maasai Mara University Library -Main Campus | Maasai Mara University Library -Main Campus | 10/28/2022 | Donation -Rattansi | 10500.00 | QA279.5 .G45 2014 | 22038955 | 10/31/2022 | 10/31/2022 | L |