Statistical rethinking : (Record no. 71780)

MARC details
000 -LEADER
fixed length control field 02426cam a2200265 i 4500
001 - CONTROL NUMBER
control field 0000069245
003 - CONTROL NUMBER IDENTIFIER
control field 0001
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160805s2016 flua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2015032008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781482253443 (hardback : alk. paper)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Description conventions rda
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.542
Edition number 23
084 ## - OTHER CLASSIFICATION NUMBER
Classification number 519.542
Item number MCE-S
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name McElreath, Richard,
Dates associated with a name 1973-
245 10 - TITLE STATEMENT
Title Statistical rethinking :
Medium [Book] :
Remainder of title a Bayesian course with examples in R and Stan /
Statement of responsibility, etc. Richard McElreath, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 469 pages :
Other physical details illustrations ;
Dimensions 27 cm.
490 0# - SERIES STATEMENT
Series statement Chapman & Hall/CRC texts in statistical science series ;
Volume/sequential designation 122
500 ## - GENERAL NOTE
General note "A CRC title."
520 ## - SUMMARY, ETC.
Summary, etc. Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
521 ## - TARGET AUDIENCE NOTE
Target audience note All.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bayesian statistical decision theory.
Topical term or geographic name entry element R (Computer program language)
852 ## - LOCATION
Piece designation 53876
-- 8443.20
Classification part 519.542 MCE-S
Sublocation or collection Ground Floor
Former shelving location Books
Copy number 1
Piece physical condition 1-New
Location JZL-CUI
Holdings
Date last seen Total checkouts Full call number Shelving location Price effective from Koha item type Lost status Damaged status Not for loan Withdrawn status Home library Barcode Current library Date acquired
09/12/2023   519.542 MCE-S Ground Floor 09/12/2023 Books         Junaid Zaidi Library, COMSATS University Islamabad 53876 Junaid Zaidi Library, COMSATS University Islamabad 09/12/2023