MARC details
000 -LEADER |
fixed length control field |
02150nam a22003137a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20200901115939.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200901b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781473916364 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1473916364 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781473916357 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1473916356 |
040 ## - CATALOGING SOURCE |
Language of cataloging |
English |
Transcribing agency |
MSU |
Description conventions |
rda |
041 ## - |
-- |
eng |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA279.5 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Lambert, Ben |
Relator term |
author |
245 12 - TITLE STATEMENT |
Title |
A student's guide to Bayesian statistics |
Statement of responsibility, etc |
created by Ben Lambert |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
London |
Name of publisher, distributor, etc |
Sage |
Date of publication, distribution, etc |
2018 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
498 pages |
Other physical details |
ill. |
Dimensions |
25 cm |
336 ## - CONTENT TYPE |
content type term |
text |
Source |
rdacontent |
337 ## - MEDIA TYPE |
media type term |
unmediated |
source |
rdamedia |
media type code |
n |
338 ## - CARRIER TYPE |
carrier type term |
volume |
source |
rdacarrier |
carrier type code |
nc |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index |
505 0# - 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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Bayesian statistical decision theory |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Bayesian statistical decision theory |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Book |