A student's guide to Bayesian statistics / (Record no. 90972)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02141nam a2200289Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | 343691 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | 0000000000 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20211104091449.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170511t20182018caua b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2017942214 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781473916364 |
| 040 ## - CATALOGING SOURCE | |
| Description conventions | rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA 279.5 |
| Item number | .L172 2018 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lambert, Ben, |
| 9 (RLIN) | 127326 |
| 245 #2 - TITLE STATEMENT | |
| Title | A student's guide to Bayesian statistics / |
| Statement of responsibility, etc. | Ben Lambert. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Los Angeles : |
| Name of producer, publisher, distributor, manufacturer | SAGE, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xx, 498 pages : |
| Other physical details | illustrations |
| Dimensions | 25 cm. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references (pages 489-491) and index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | An introduction to Bayesian inference -- Understanding the Bayesian formula -- Analytic Bayesian methods -- A practical guide to doing real-life Bayesian analysis: Computational Bayes -- Hierarchical models and regression. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Supported by a wealth of learning features, exercises, and visual elements as well as online video tutorials and interactive simulations, this book is the first student-focused introduction to Bayesian statistics. Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers. Through a logical structure that introduces and builds upon key concepts in a gradual way and slowly acclimatizes students to using R and Stan software, the book covers: An introduction to probability and Bayesian inference, Understanding Bayes' rule, Nuts and bolts of Bayesian analytic methods, Computational Bayes and real-world Bayesian analysis, Regression analysis and hierarchical methods. This unique guide will help students develop the statistical confidence and skills to put the Bayesian formula into practice, from the basic concepts of statistical inference to complex applications of analyses. -- |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Bayesian statistical decision theory. |
| 9 (RLIN) | 87121 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | |
No items available.
