01662nam a2200289 a 4500
182260
161206s2009 000 0
978-0-470-01154-6
IHS103169702
eng
519 Probabilities and applied mathematics
Formalwissenschaft
Jackman, Simon ;
Department of Political Science, Stanford University, USA
Bayesian Analysis for the Social Sciences
1. Ed.
Chichester :
John Wiley and Sons
2009
xxxiv, 564 pp.
Wiley Series in Probability and Statistics
Balding, David J. (Ed.)
Cressie, Noel A.C. (Ed.)
Fitzmaurice, Garrett M. (Ed.)
et al.
from the Table of Contents: Preface; Acknowledgments; Introduction; Introducing Bayesian Analysis: The foundations of Bayesian inference; Getting started. Bayesian analysis for simple models; Simulation Based Bayesian Analysis: Monte Carlo methods; Markov chains; Markov chain Monte Carlo; Implementing Markov chain Monte Carlo; Advanced Applications in the Social Sciences: Hierarchical Statistical Models; Bayesian analysis of choice making; Bayesian approaches to measurement; Appendices: Working with vectors and matrices; Probability review; Proofs of selected propositions;
Social sciences -- Statistical methods
Bayesian statistical decision theory
http://books.google.com/books?id=QFqyrNL8yEkC&printsec=frontcover
Jackman, Simon, Bayesian Analysis for the Social Sciences (Google Book Search, Limited preview)
0
0
z
0
0
IHS
IHS
B
2011-02-21
Missing Link
57.90
0
20260-A
IHS103169702
2016-12-06
46.32
2016-12-06
L
176279
176279