MARC details
| 000 -LEADER |
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| fixed length control field |
02466cam a2200325 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
0000029440 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230921135924.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
140320s2015 maum b a000 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2014011293 |
| 019 ## - |
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| -- |
884310314 |
| -- |
900488537 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780124058880 (hbk) : |
| Terms of availability |
$80.00 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
0124058884 (hbk) |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
c=Program for Cooperative Cataloging |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) |
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| Classification number |
519.542 |
| Item number |
K945 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Kruschke, John K. |
| 245 10 - TITLE STATEMENT |
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| Title |
Doing Bayesian data analysis : |
| Remainder of title |
a tutorial with R, JAGS, and stan / |
| Statement of responsibility, etc. |
John Kruschke. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
second [edition] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Boston : |
| Name of publisher, distributor, etc. |
Academic Press, |
| Date of publication, distribution, etc. |
2015. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boston : |
| Name of producer, publisher, distributor, manufacturer |
Academic Press, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2015 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 759 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
25 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references (p.737-745) |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
What's in this book (Read this first!) -- Part I The basics: models, probability, Bayes' rule and r: Introduction: credibility, models, and parameters; The R programming language; What is this stuff called probability?; Bayes' rule -- Part II All the fundamentals applied to inferring a binomila probability: Inferring a binomial probability via exact mathematical analysis; Markov chain Monte Carlo; JAGS; Hierarchical models; Model comparison and hierarchical modeling; Null hypothesis significance testing; Bayesian approaches to testing a point ("Null") hypothesis; Goals, power, and sample size; Stan -- Part III The generalized linear model: Overview of the generalized linear model; Metric-predicted variable on one or two groups; Metric predicted variable with one metric predictor; Metric predicted variable with multiple metric predictors; Metric predicted variable with one nominal predictor; Metric predicted variable with multiple nominal predictors; Dichotomous predicted variable; Nominal predicted variable; Ordinal predicted variable; Count predicted variable; Tools in the trunk -- Bibliography -- Index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Bayesian statistical decision theory. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
R (Computer program language) |
| 908 ## - PUT COMMAND PARAMETER (RLIN) |
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| Put command parameter |
160803 |
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N |
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20230822095114.0 |