01798nam a2200313 a 4500
174392
161206s2008 000 0
978-0-521-85225-8
IHS102991509
eng
519 Probabilities and applied mathematics
Formalwissenschaft
Claeskens, Gerda
Professor in the OR and Business Statistics and Leuven Statistics Research Center at the Katholieke Universiteit Leuven, Belgium
Model Selection and Model Averaging
1. Ed.
Cambridge, New York, Melbourne :
Cambridge University Press
2008
xvii, 312 pp.
Cambridge Series in Statistical and Probabilistic Mathematics
27
Gill, R. (Ed.)
Ripley, B.D. (Ed.)
Ross, S. (Ed.)
et al.
from the Table of Contents: Preface; A guide to notation; Model selection: data examples and introduction; Akaike's information criterion; The Bayesian information criterion; A comparison of some selection methods; Bigger is not always better; The focussed information criterion; Frequentist and Bayesian model averaging; Lack-of-fit and goodness-of-fit tests; Model selection and averaging schemes in action; Further topics; Overview of data examples; Indices;
Mathematical models -- Research
Mathematical statistics -- Research
Bayesian statistical decision theory
Hjort, Nils Lid
Professor of Mathematical Statistics in the Department of Mathematics at the University of Oslo, Norway
http://books.google.com/books?id=sjQFwB2XEFAC&printsec=frontcover
Claeskens, Gerda - et al., Model Selection and Model Averaging (Google Book Search)
0
0
z
0
0
IHS
IHS
B
2008-11-27
Starkmann
47.70
0
19691-B
IHS102991509
2016-12-06
44.12
2016-12-06
L
168825
168825