Weighing the odds : (Record no. 6613)

MARC details
000 -LEADER
fixed length control field 01817nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220323151050.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130110b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 052100618x
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 052180356x
040 ## - CATALOGING SOURCE
Transcribing agency tshering
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.28 WIL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Williams, David.
245 ## - TITLE STATEMENT
Title Weighing the odds :
Remainder of title a course in probability and statistics /
Statement of responsibility, etc David Williams
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York :
Name of publisher, distributor, etc Cambridge university press,
Date of publication, distribution, etc 2001.
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 547 p. :
Other physical details ill. ;
Dimensions 24.5 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliography and index.
520 ## - SUMMARY, ETC.
Summary, etc Statistics do not lie, nor is probability paradoxical. You just have to have the right intuition. In this lively look at both subjects, David Williams convinces mathematics students of the intrinsic interest of statistics and probability, and statistics students that the language of mathematics can bring real insight and clarity to their subject. He helps students build the intuition needed, in a presentation enriched with examples drawn from all manner of applications, e.g., genetics, filtering, the Black-Scholes option-pricing formula, quantum probability and computing, and classical and modern statistical models. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Test, and include Gibbs-sampling techniques for the practical implementation of Bayesian methods. A central chapter gives the theory of Linear Regression and ANOVA, and explains how MCMC methods allow greater flexibility in modelling. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probabilities.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type Total Renewals Date checked out
    Dewey Decimal Classification     Paro College Library Paro College Library 10/01/2013 SSBL,430=1/1/2004 1087.00   519.28 WIL *12856* 10/01/2013 1137.00 10/01/2013 Books    
    Dewey Decimal Classification     Paro College Library Paro College Library 10/01/2013       519.28 WIL *12857* 10/01/2013   10/01/2013 Books    
    Dewey Decimal Classification     Paro College Library Paro College Library 10/01/2013     1 519.28 WIL *12858* 24/08/2017   10/01/2013 Books 1 25/07/2017
    Dewey Decimal Classification     Paro College Library Paro College Library 10/01/2013       519.28 WIL *12859* 10/01/2013   10/01/2013 Books    
    Dewey Decimal Classification     Paro College Library Paro College Library 10/01/2013       519.28 WIL *12860* 10/01/2013   10/01/2013 Books    
Copyright © , Paro College of Education | email: librarian.pce@rub.edu.bt