Bayes' rule with MatLab : (Record no. 1364476)

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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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Inventory number Total Checkouts Total Renewals Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
        North Campus North Campus North Campus Main Collection 23/11/2016 42.53 i13526200     519.55 STO A554894B 23/11/2016 1 42.53 31/10/2021 Book
        North Campus North Campus North Campus Main Collection 12/12/2016 42.53 i13529213     519.55 STO A554866B 12/12/2016 1 42.53 31/10/2021 Book

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