Statistical rethinking : (Record no. 71780)
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000 -LEADER | |
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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 |
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 |
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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 |