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Bayesian data analysis in ecology using linear models with R, BUGS, and Stan / (Record no. 247071)

000 -LEADER
fixed length control field 07100cam a2200757Ii 4500
001 - CONTROL NUMBER
control field ocn906699032
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190328114810.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu|||unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150407s2015 ne a ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency N$T
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency N$T
Modifying agency N$T
-- IDEBK
-- OPELS
-- E7B
-- YDXCP
-- COO
-- CDX
-- CHVBK
-- EBLCP
-- DEBSZ
-- FEM
-- OCLCO
-- IDB
-- Z5A
-- OCLCQ
-- MERUC
-- OCLCQ
-- WRM
-- U3W
-- D6H
-- OCLCF
-- RRP
-- OCLCQ
-- WYU
-- OCLCA
-- MERER
-- OCLCQ
019 ## -
-- 908100768
-- 926105501
-- 968096815
-- 1066538951
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128016787
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0128016787
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0128013702
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128013700
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780128013700
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)906699032
Canceled/invalid control number (OCoLC)908100768
-- (OCoLC)926105501
-- (OCoLC)968096815
-- (OCoLC)1066538951
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH541.15.S72
070 0# - NATIONAL AGRICULTURAL LIBRARY CALL NUMBER
Classification number QH541.15.S72
Item number K67 2015
072 #7 - SUBJECT CATEGORY CODE
Subject category code NAT
Subject category code subdivision 010000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code NAT
Subject category code subdivision 045040
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 026000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 020000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 577.01/5195
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Korner-Nievergelt, Fr�anzi,
Relator term author.
245 10 - TITLE STATEMENT
Title Bayesian data analysis in ecology using linear models with R, BUGS, and Stan /
Medium [electronic resource]
Statement of responsibility, etc. Fr�anzi Korner-Nievergelt [and five others].
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Amsterdam ;
-- Boston :
Name of producer, publisher, distributor, manufacturer Academic Press, an imprint of Elsevier,
Date of production, publication, distribution, manufacture, or copyright notice [2015]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource :
Other physical details illustrations
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
Source rda
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from PDF title page (Ebsco, viewed April 9, 2015).
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN examines the Bayesian and frequentist methods of conducting data analyses. The book provides the theoretical background in an easy-to-understand approach, encouraging readers to examine the processes that generated their data. Including discussions of model selection, model checking, and multi-model inference, the book also uses effect plots that allow a natural interpretation of data. Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and STAN introduces Bayesian software, using R for the simple modes, and flexible Bayesian software (BUGS and Stan) for the more complicated ones. Guiding the ready from easy toward more complex (real) data analyses ina step-by-step manner, the book presents problems and solutions-including all R codes-that are most often applicable to other data and questions, making it an invaluable resource for analyzing a variety of data types.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Front Cover; Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan; Copyright; Contents; Digital Assets; Acknowledgments; Chapter 1 -- Why do we Need Statistical Models and What is this Book About?; 1.1 WHY WE NEED STATISTICAL MODELS; 1.2 WHAT THIS BOOK IS ABOUT; FURTHER READING; Chapter 2 -- Prerequisites and Vocabulary; 2.1 SOFTWARE; 2.2 IMPORTANT STATISTICAL TERMS AND HOW TO HANDLE THEM IN R; FURTHER READING; Chapter 3 -- The Bayesian and the Frequentist Ways of Analyzing Data; 3.1 SHORT HISTORICAL OVERVIEW; 3.2 THE BAYESIAN WAY; 3.3 THE FREQUENTIST WAY.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.4 COMPARISON OF THE BAYESIAN AND THE FREQUENTIST WAYSFURTHER READING; Chapter 4 -- Normal Linear Models; 4.1 LINEAR REGRESSION; 4.2 REGRESSION VARIANTS: ANOVA, ANCOVA, AND MULTIPLE REGRESSION; FURTHER READING; Chapter 5 -- Likelihood; 5.1 THEORY; 5.2 THE MAXIMUM LIKELIHOOD METHOD; 5.3 THE LOG POINTWISE PREDICTIVE DENSITY; FURTHER READING; Chapter 6 -- Assessing Model Assumptions: Residual Analysis; 6.1 MODEL ASSUMPTIONS; 6.2 INDEPENDENT AND IDENTICALLY DISTRIBUTED; 6.3 THE QQ PLOT; 6.4 TEMPORAL AUTOCORRELATION; 6.5 SPATIAL AUTOCORRELATION; 6.6 HETEROSCEDASTICITY; FURTHER READING.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 7 -- Linear Mixed Effects Models7.1 BACKGROUND; 7.2 FITTING A LINEAR MIXED MODEL IN R; 7.3 RESTRICTED MAXIMUM LIKELIHOOD ESTIMATION; 7.4 ASSESSING MODEL ASSUMPTIONS; 7.5 DRAWING CONCLUSIONS; 7.6 FREQUENTIST RESULTS; 7.7 RANDOM INTERCEPT AND RANDOM SLOPE; 7.8 NESTED AND CROSSED RANDOM EFFECTS; 7.9 MODEL SELECTION IN MIXED MODELS; FURTHER READING; Chapter 8 -- Generalized Linear Models; 8.1 BACKGROUND; 8.2 BINOMIAL MODEL; 8.3 FITTING A BINARY LOGISTIC REGRESSION IN R; 8.4 POISSON MODEL; FURTHER READING; Chapter 9 -- Generalized Linear Mixed Models; 9.1 BINOMIAL MIXED MODEL.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 9.2 POISSON MIXED MODELFURTHER READING; Chapter 10 -- Posterior Predictive Model Checking and Proportion of Explained Variance; 10.1 POSTERIOR PREDICTIVE MODEL CHECKING; 10.2 MEASURES OF EXPLAINED VARIANCE; FURTHER READING; Chapter 11 -- Model Selection and Multimodel Inference; 11.1 WHEN AND WHY WE SELECT MODELS AND WHY THIS IS DIFFICULT; 11.2 METHODS FOR MODEL SELECTION AND MODEL COMPARISONS; 11.3 MULTIMODEL INFERENCE; 11.4 WHICH METHOD TO CHOOSE AND WHICH STRATEGY TO FOLLOW; FURTHER READING; Chapter 12 -- Markov Chain Monte Carlo Simulation; 12.1 BACKGROUND; 12.2 MCMC USING BUGS.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 12.3 MCMC USING STAN12.4 SIM, BUGS, AND STAN; FURTHER READING; Chapter 13 -- Modeling Spatial Data Using GLMM; 13.1 BACKGROUND; 13.2 MODELING ASSUMPTIONS; 13.3 EXPLICIT MODELING OF SPATIAL AUTOCORRELATION; FURTHER READING; Chapter 14 -- Advanced Ecological Models; 14.1 HIERARCHICAL MULTINOMIAL MODEL TO ANALYZE HABITAT SELECTION USING BUGS; 14.2 ZERO-INFLATED POISSON MIXED MODEL FOR ANALYZING BREEDING SUCCESS USING STAN; 14.3 OCCUPANCY MODEL TO MEASURE SPECIES DISTRIBUTION USING STAN; 14.4 TERRITORY OCCUPANCY MODEL TO ESTIMATE SURVIVAL USING BUGS.
630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title BUGS (Information storage and retrieval system)
630 07 - SUBJECT ADDED ENTRY--UNIFORM TITLE
Uniform title BUGS (Information storage and retrieval system)
Source of heading or term fast
Authority record control number (OCoLC)fst01897696
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Ecology
General subdivision Research
-- Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element NATURE
General subdivision Ecology.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element NATURE
General subdivision Ecosystems & Habitats
-- Wilderness.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE
General subdivision Environmental Science.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE
General subdivision Life Sciences
-- Ecology.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
Source of heading or term fast
Authority record control number (OCoLC)fst00829019
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
Source of heading or term fast
Authority record control number (OCoLC)fst01086207
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element �Okologie
Source of heading or term gnd
Authority record control number (DE-588)4043207-5
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Datenverarbeitung
Source of heading or term gnd
Authority record control number (DE-588)4011152-0
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayes-Verfahren
Source of heading or term gnd
Authority record control number (DE-588)4204326-8
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biostatistik
Source of heading or term gnd
Authority record control number (DE-588)4729990-3
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R
-- Programm
Source of heading or term gnd
Authority record control number (DE-588)4705956-4
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Gibbs-sampling
Source of heading or term gnd
Authority record control number (DE-588)4352359-6
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayes Theorem.
650 #2 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Linear Models.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic book.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Title Bayesian data analysis in ecology using linear models with R, BUGS, and Stan.
Place, publisher, and date of publication Amsterdam, [Netherlands] : Academic Press, �2015
Physical description xii, 316 pages
International Standard Book Number 9780128013700
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified ScienceDirect
Uniform Resource Identifier http://www.sciencedirect.com/science/book/9780128013700

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Last Updated on September 15, 2019
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