Data analysis (Record no. 158)

000 -LEADER
fixed length control field 01827nam a2200193Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230904163344.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170804s2006 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780198568322
040 ## - CATALOGING SOURCE
Original cataloging agency ICTS-TIFR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sivia, Devinderjit
245 ## - TITLE STATEMENT
Title Data analysis
Remainder of title : a bayesian tutorial
250 ## - EDITION STATEMENT
Edition statement 2nd Ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Oxford University Press,
Date of publication, distribution, etc. c2006
Place of publication, distribution, etc. Oxford, U.K.:
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1:The Basics,<br/>2:Parameter Estimation I, <br/>3:Parameter Estimation II, <br/>4:Model Selection, <br/>5:Assigning Probabilities, <br/>6:Non-parametric Estimation, <br/>7:Experimental Design, <br/>8:Least-Squares Extensions, <br/>9:Nested Sampling, <br/>10:Quantification, <br/>Appendices<br/>Bibliography
520 ## - SUMMARY, ETC.
Summary, etc. Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.<br/>This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.<br/>The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Skilling, John
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Shelving location Date acquired Full call number Accession No. Koha item type
          ICTS Rack No 5 12/03/2013 QA279.5 00158 Book