Time series analysis by state space methods /

Saved in:
Bibliographic Details
Author / Creator:Durbin, James.
Imprint:Oxford ; New York : Oxford University Press, 2001.
Description:xvii, 253 p. : ill. ; 25 cm.
Language:English
Series:Oxford statistical science series ; 24
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4505883
Hidden Bibliographic Details
Other authors / contributors:Koopman, S. J. (Siem Jan)
ISBN:0198523548 (acid-free paper)
Notes:Includes bibliographical references (p. [241]-247) and index.

MARC

LEADER 00000pam a22000004a 4500
001 4505883
003 ICU
005 20031020211000.0
008 001221s2001 enka b 001 0 eng
010 |a  00054845  
020 |a 0198523548 (acid-free paper) 
035 |a 54845 
040 |a DLC  |c DLC  |d DLC  |d OCoLC  |d OrLoB-B 
042 |a pcc 
050 0 0 |a QA280  |b .D87 2001 
082 0 0 |a 519.5/5  |2 21 
100 1 |a Durbin, James.  |1 http://viaf.org/viaf/19757417 
245 1 0 |a Time series analysis by state space methods /  |c J. Durbin and S.J. Koopman. 
260 |a Oxford ;  |a New York :  |b Oxford University Press,  |c 2001. 
300 |a xvii, 253 p. :  |b ill. ;  |c 25 cm. 
336 |a text  |b txt  |2 rdacontent  |0 http://id.loc.gov/vocabulary/contentTypes/txt 
337 |a unmediated  |b n  |2 rdamedia  |0 http://id.loc.gov/vocabulary/mediaTypes/n 
338 |a volume  |b nc  |2 rdacarrier  |0 http://id.loc.gov/vocabulary/carriers/nc 
440 0 |a Oxford statistical science series ;  |v 24 
504 |a Includes bibliographical references (p. [241]-247) and index. 
505 0 0 |g 1.  |t Introduction --  |g I.  |t The Linear Gaussian State Space Model --  |g 2.  |t Local level model --  |g 3.  |t Linear Gaussian state space models --  |g 4.  |t Filtering, smoothing and forecasting --  |g 5.  |t Initialisation of filter and smoother --  |g 6.  |t Further computational aspects --  |g 7.  |t Maximum likelihood estimation --  |g 8.  |t Bayesian analysis --  |g 9.  |t Illustrations of the use of the linear Gaussian model --  |g II.  |t Non-Gaussian and Nonlinear State Space Models --  |g 10.  |t Non-Gaussian and nonlinear state space models --  |g 11.  |t Importance sampling --  |g 12.  |t Analysis from a classical standpoint --  |g 13.  |t Analysis from a Bayesian standpoint --  |g 14.  |t Non-Gaussian and nonlinear illustrations. 
650 0 |a Time-series analysis.  |0 http://id.loc.gov/authorities/subjects/sh85135430 
650 0 |a State-space methods.  |0 http://id.loc.gov/authorities/subjects/sh85127512 
650 7 |a State-space methods.  |2 fast  |0 http://id.worldcat.org/fast/fst01131964 
650 7 |a Time-series analysis.  |2 fast  |0 http://id.worldcat.org/fast/fst01151190 
700 1 |a Koopman, S. J.  |q (Siem Jan)  |0 http://id.loc.gov/authorities/names/n00008824  |1 http://viaf.org/viaf/54370696 
901 |a ToCBNA 
903 |a HeVa 
035 |a (OCoLC)45636928 
929 |a cat 
999 f f |i d327f6dc-0906-5cf3-a64f-0994dc657ba5  |s 68198493-9b6e-5ba8-bfb3-f63841f4b39a 
928 |t Library of Congress classification  |a QA280 .D87 2001  |l JCL  |c JCL-Sci  |i 4643861 
928 |t Library of Congress classification  |a QA280 .D87 2001  |l JCL  |c JCL-Sci  |i 4686365 
927 |t Library of Congress classification  |a QA280 .D87 2001  |l JCL  |c JCL-Sci  |e CRERAR  |b 57971592  |i 7107897 
927 |t Library of Congress classification  |a QA280 .D87 2001  |l JCL  |c JCL-Sci  |e KAUF  |e CRERAR  |b 099659820  |i 7107898