Bayesian data analysis / (Record no. 7364)

MARC details
000 -LEADER
fixed length control field 04081cam a22003858i 4500
001 - CONTROL NUMBER
control field 7364
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhEWU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140605020005.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140205s2014 flu g b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439840955 (hardback)
International Standard Book Number 1439840954
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)859253474
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency BD-DhEWU
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA279.5
Item number .G45 2014
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.542
Item number BAY 2014
084 ## - OTHER CLASSIFICATION NUMBER
Classification number MAT029000
Source of number bisacsh
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gelman, Andrew,
9 (RLIN) 3494
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.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 1111
300 ## - PHYSICAL DESCRIPTION
Extent pages cm.
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC texts in statistical science
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and indexes.
505 ## - FORMATTED CONTENTS NOTE
Title TOC
Formatted contents note FUNDAMENTALS OF BAYESIAN INFERENCE Probability and Inference Single-Parameter Models Introduction to Multiparameter Models Asymptotics and Connections to Non-Bayesian Approaches Hierarchical Models FUNDAMENTALS OF BAYESIAN DATA ANALYSIS Model Checking Evaluating, Comparing, and Expanding Models Modeling Accounting for Data Collection Decision Analysis ADVANCED COMPUTATION Introduction to Bayesian Computation Basics of Markov Chain Simulation Computationally Efficient Markov Chain Simulation Modal and Distributional Approximations REGRESSION MODELS Introduction to Regression Models Hierarchical Linear Models Generalized Linear Models Models for Robust Inference Models for Missing Data NONLINEAR AND NONPARAMETRIC MODELS Parametric Nonlinear Models Basic Function Models Gaussian Process Models Finite Mixture Models Dirichlet Process Models APPENDICES A: Standard Probability Distributions B: Outline of Proofs of Asymptotic Theorems C: Computation in R and Stan Bibliographic Notes and Exercises appear at the end of each chapter.
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"--
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name AS
590 ## - LOCAL NOTE (RLIN)
Local note Tahur Ahmed
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
9 (RLIN) 2787
Topical term or geographic name as entry element MATHEMATICS / Probability & Statistics / General.
Source of heading or term bisacsh
9 (RLIN) 2343
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Cover image
Uniform Resource Identifier http://images.tandf.co.uk/common/jackets/websmall/978143984/9781439840955.jpg
Materials specified WorldCat Details
Uniform Resource Identifier http://www.worldcat.org/title/bayesian-data-analysis/oclc/859253474&referer=brief_results
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Text
Koha issues (borrowed), all copies 1
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date checked out Copy number Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Non-fiction EWU Library EWU Library Reserve Section 05/02/2014 Trim Education 4690.00 1 519.542 BAY 2014 25719 17/06/2014 04/06/2014 C-1 10/02/2014 Text
    Dewey Decimal Classification   Not For Loan Non-fiction EWU Library EWU Library Reserve Section 29/06/2014 Bangaldesh Photostat 1273.00   519.542 BAY 2014 26045 07/07/2014   C-2 07/07/2014 Text

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