Statistical Models. (Record no. 3918)

MARC details
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100314s2003 000 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521734493
035 ## - SYSTEM CONTROL NUMBER
System control number (Sirsi) u4916
040 ## - CATALOGING SOURCE
Original cataloging agency EG-CaNU
-- EG-CaNU
-- EG-CaNU
042 ## - AUTHENTICATION CODE
Authentication code ncode
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Davison, A. C.
9 (RLIN) 636
245 10 - TITLE STATEMENT
Title Statistical Models.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, U.K. ;
-- New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2003.
300 ## - PHYSICAL DESCRIPTION
Extent x, 726 p. :
Other physical details ill. ;
Dimensions 27 cm.
490 1# - SERIES STATEMENT
Series statement Cambridge series in statistical and probabilistic mathematics
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 699-711) and indexes.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction; 2. Variation; 3. Uncertainty; 4. Likelihood; 5. Models; 6. Stochastic models; 7. Estimation and hypothesis testing; 8. Linear regression models; 9. Designed experiments; 10. Nonlinear regression models; 11. Bayesian models; 12. Conditional and marginal inference.
520 ## - SUMMARY, ETC.
Summary, etc. Models and likelihood are the backbone of modern statistics. This 2003 book gives an integrated development of these topics that blends theory and practice, intended for advanced undergraduate and graduate students, researchers and practitioners. Its breadth is unrivaled, with sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain Monte Carlo, estimating functions, asymptotic approximations, local likelihood and spline regressions as well as on more standard topics such as likelihood and linear and generalized linear models. Each chapter contains a wide range of problems and exercises. Practicals in the S language designed to build computing and data analysis skills, and a library of data sets to accompany the book, are available over the Web.
596 ## -
-- 1
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
9 (RLIN) 9797
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Main library Main library General Stacks 01/26/2020 OSI   519.5 / DA.S 2009 006753 11/24/2019 1 11/24/2019 Books