Frontiers of Statistical Decision Making and Bayesian Analysis (Registro nro. 199664)

MARC details
000 -LÍDER
fixed length control field 04261nam a22004455i 4500
001 - NÚMERO DE CONTROL
control field u371784
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL
control field SIRSI
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN
control field 20160812080147.0
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL
fixed length control field cr nn 008mamaa
008 - ELEMENTOS DE LONGITUD FIJA -- INFORMACIÓN GENERAL
fixed length control field 100726s2010 xxu| s |||| 0|eng d
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS
International Standard Book Number 9781441969446
-- 978-1-4419-6944-6
040 ## - FUENTE DE CATALOGACIÓN
Transcribing agency MX-MeUAM
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO
Classification number QA276-280
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY
Classification number 519.5
Edition number 23
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL
Personal name Chen, Ming-Hui.
Relator term editor.
245 10 - MENCIÓN DE TITULO
Title Frontiers of Statistical Decision Making and Bayesian Analysis
Medium [recurso electrónico] :
Remainder of title In Honor of James O. Berger /
Statement of responsibility, etc. edited by Ming-Hui Chen, Peter Müller, Dongchu Sun, Keying Ye, Dipak K. Dey.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer New York,
Date of production, publication, distribution, manufacture, or copyright notice 2010.
300 ## - DESCRIPCIÓN FÍSICA
Extent XXIII, 631 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - NOTA DE CONTENIDO
Formatted contents note Objective Bayesian Inference with Applications -- Bayesian Decision Based Estimation and Predictive Inference -- Bayesian Model Selection and Hypothesis Tests -- Bayesian Inference for Complex Computer Models -- Bayesian Nonparametrics and Semi-parametrics -- Bayesian Influence and Frequentist Interface -- Bayesian Clinical Trials -- Bayesian Methods for Genomics, Molecular and Systems Biology -- Bayesian Data Mining and Machine Learning -- Bayesian Inference in Political Science, Finance, and Marketing Research -- Bayesian Categorical Data Analysis -- Bayesian Geophysical, Spatial and Temporal Statistics -- Posterior Simulation and Monte Carlo Methods.
520 ## - NOTA DE RESUMEN, ETC.
Summary, etc. Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers. Ming-Hui Chen is Professor of Statistics at the University of Connecticut; Dipak K. Dey is Head and Professor of Statistics at the University of Connecticut; Peter Müller is Professor of Biostatistics at the University of Texas M. D. Anderson Cancer Center; Dongchu Sun is Professor of Statistics at the University of Missouri- Columbia; and Keying Ye is Professor of Statistics at the University of Texas at San Antonio.
596 ## -
-- 19
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics.
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Mathematical statistics.
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistics.
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO
Topical term or geographic name as entry element Statistical Theory and Methods.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Müller, Peter.
Relator term editor.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Sun, Dongchu.
Relator term editor.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Ye, Keying.
Relator term editor.
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL
Personal name Dey, Dipak K.
Relator term editor.
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781441969439
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS
Public note Libro electrónico
Uniform Resource Identifier <a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-6944-6">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-6944-6</a>
942 ## - TIPO DE MATERIAL (KOHA)
Koha item type Libro Electrónico
Existencias
Estado de retiro Fuente de clasificación Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Signatura topográfica Código de barras Date last seen Número de copia Tipo de material
    Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica     QA276 -280 371784-2001 12/08/2016 1 Libro Electrónico

Con tecnología Koha