Bayesian logical data analysis for the physical sciences (Record no. 146)

000 -LEADER
fixed length control field 01763nam a2200181Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230904123911.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170804s2010 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521841504
040 ## - CATALOGING SOURCE
Original cataloging agency ICTS-TIFR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gregory, Phil
245 ## - TITLE STATEMENT
Title Bayesian logical data analysis for the physical sciences
Remainder of title : a comparative approach with mathematica® support
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. c2010
Place of publication, distribution, etc. Cambridge, U.K.:
520 ## - SUMMARY, ETC.
Summary, etc. Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.---Provided by publisher
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics and probability
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://assets.cambridge.org/97805218/41504/toc/9780521841504_toc.pdf">https://assets.cambridge.org/97805218/41504/toc/9780521841504_toc.pdf</a>
Link text Table of Contents
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 07/06/2013 QA279.5 00146 Book