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Statistical rethinking [2nd ed.] (Record no. 565080)

MARC details
000 -LEADER
fixed length control field 02548 a2200253 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220112092424.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220105b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780367139919
040 ## - CATALOGING SOURCE
Transcribing agency IIT Kanpur
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.542
Item number M154s2
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name McElreath, Richard
245 ## - TITLE STATEMENT
Title Statistical rethinking [2nd ed.]
Remainder of title a Bayesian course with examples in R and Stan
Statement of responsibility, etc Richard McElreath
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher CRC Press
Year of publication 2020
Place of publication Boca Raton
300 ## - PHYSICAL DESCRIPTION
Number of Pages xvii, 593p
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Texts in statistical science series
490 ## - SERIES STATEMENT
Series statement / edited by Joseph K. Blitzstein ...[et al.]
520 ## - SUMMARY, ETC.
Summary, etc Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data. Reflecting the need for scripting in today's model-based statistics, the book pushes you to perform step-by-step calculations that are usually automated. This unique computational approach ensures that you understand enough of the details to make reasonable choices and interpretations in your own modeling work.<br/><br/>The text presents causal inference and generalized linear multilevel models from a simple Bayesian perspective that builds on information theory and maximum entropy. The core material ranges from the basics of regression to advanced multilevel models. It also presents measurement error, missing data, and Gaussian process models for spatial and phylogenetic confounding.<br/><br/>The second edition emphasizes the directed acyclic graph (DAG) approach to causal inference, integrating DAGs into many examples. The new edition also contains new material on the design of prior distributions, splines, ordered categorical predictors, social relations models, cross-validation, importance sampling, instrumental variables, and Hamiltonian Monte Carlo. It ends with an entirely new chapter that goes beyond generalized linear modeling, showing how domain-specific scientific models can be built into statistical analyses.<br/><br/>Features<br/><br/>Integrates working code into the main text<br/>Illustrates concepts through worked data analysis examples<br/>Emphasizes understanding assumptions and how assumptions are reflected in code<br/>Offers more detailed explanations of the mathematics in optional sections<br/>Presents examples of using the dagitty R package to analyze causal graphs<br/>Provides the rethinking R package on the author's website and on GitHub
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Bayesian statistical decision theory
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term R (Computer program language)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Koha item type
        General Stacks PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 17/01/2022 63 3771.00 519.542 M154s2 A185504 5399.10 Books

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