MARC details
000 -LEADER |
fixed length control field |
02867cam a2200433 i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20211103043304.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
151113t20152015enka b 001 0 eng d |
011 ## - LINKING LIBRARY OF CONGRESS CONTROL NUMBER [OBSOLETE] |
Local cataloguing issues note |
MARC Score : 10850(21050) : OK |
011 ## - LINKING LIBRARY OF CONGRESS CONTROL NUMBER [OBSOLETE] |
Local cataloguing issues note |
Direct Search Result |
011 ## - LINKING LIBRARY OF CONGRESS CONTROL NUMBER [OBSOLETE] |
Local cataloguing issues note |
Leader : INCOMING RECORD MACHINE CONVERTED TO RDA FROM AACR2. Check coding and correct to RDA standards if necessary |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
0993367909 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780993367908 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(ATU)b19370155 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)928996378 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
Y$R |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
Y$R |
Modifying agency |
OCLCO |
-- |
OCLCF |
-- |
OCLCQ |
-- |
ATU |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.55 |
Edition number |
23 |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
Classification number |
519.55 STO |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Stone, J. V., |
Relator term |
author. |
245 10 - TITLE STATEMENT |
Title |
Bayes' rule with MatLab : |
Remainder of title |
a tutorial introduction to Bayesian analysis / |
Statement of responsibility, etc. |
James V Stone. |
246 30 - VARYING FORM OF TITLE |
Title proper/short title |
Tutorial introduction to Bayesian analysis |
250 ## - EDITION STATEMENT |
Edition statement |
First edition. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Sheffield : |
Name of producer, publisher, distributor, manufacturer |
Sebtel Press, |
Date of production, publication, distribution, manufacture, or copyright notice |
2015. |
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Date of production, publication, distribution, manufacture, or copyright notice |
©2015 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
178 pages : |
Other physical details |
illustrations ; |
Dimensions |
23 cm |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
Media type code |
n |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
Carrier type code |
nc |
Source |
rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references and index. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Preface -- 1. An introduction to Bayes' rule -- 2. Bayes' rule in pictures -- 3. Discrete parameter values -- 4. Continuous parameter values -- 5. Gaussian parameter estimation -- 6. A bird's eye view of Bayes' rule -- 7. Bayesian wars -- Further reading -- Appendices: -- A. Glossary -- B. Mathematical symbols -- C. The rules of probability -- D. Probability density functions -- E. The binomial distribution -- F. The Gaussian distribution -- G. Least-squares estimation -- H. Reference priors -- I. MatLab code -- References -- Index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
"Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, a range of accessible examples is used to show how Bayes' rule is actually a natural consequence of commonsense reasoning. Bayes' rule is derived using intuitive graphical representations of probability, and Bayesian analysis is applied to parameter estimation using the MatLab and online Python programs provided. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for the novice who wishes to become familiar with the basic principles of Bayesian analysis."--Publisher's website. |
588 ## - SOURCE OF DESCRIPTION NOTE |
Source of description note |
Machine converted from AACR2 source record. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Bayesian statistical decision theory. |
9 (RLIN) |
314460 |
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) |
a |
.b19370155 |
b |
06-09-21 |
c |
14-10-16 |
998 ## - LOCAL CONTROL INFORMATION (RLIN) |
-- |
b |
-- |
n |
Operator's initials, OID (RLIN) |
22-11-16 |
Cataloger's initials, CIN (RLIN) |
m |
First date, FD (RLIN) |
a |
-- |
eng |
-- |
enk |
-- |
0 |
945 ## - LOCAL PROCESSING INFORMATION (OCLC) |
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23-11-16 |
945 ## - LOCAL PROCESSING INFORMATION (OCLC) |
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519.55 STO |
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A554866B |
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942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Book |