Applications of computer aided time series modeling /

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Bibliographic Details
Imprint:New York : Springer, c1997.
Description:vi, 335 p. : ill. ; 24 cm.
Language:English
Series:Lecture notes in statistics ; 119
Lecture notes in statistics (Springer-Verlag) ; v. 119.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/2705105
Hidden Bibliographic Details
Other authors / contributors:Aoki, Masanao.
Havenner, Arthur.
ISBN:0387947515 (New York : softcover : acid-free paper)
Notes:Includes bibliographical references.

MARC

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245 0 0 |a Applications of computer aided time series modeling /  |c Masanao Aoki, Arthur M. Havenner, editors. 
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490 1 |a Lecture notes in statistics ;  |v 119 
504 |a Includes bibliographical references. 
505 0 0 |g Pt. I.  |t Introduction to State Space Modeling.  |g 1.  |t The SSATS algorithm and subspace methods /  |r Masanao Aoki.  |g 2.  |t A guide to state space modeling of multiple time series /  |r Arthur M. Havenner --  |g Pt. II.  |t Applications of State Space Algorithm.  |g 1.  |t Evaluating state space forecasts of soybean complex prices /  |r Derek Berwald and Arthur M. Havenner.  |g 2.  |t A state space model of monthly US wheat prices /  |r Channing Arndt and Kenneth Foster.  |g 3.  |t Managing the heard: price forecasts for California cattle production /  |r Lorraine Egan and Arthur Havenner.  |g 4.  |t Labor market and cyclical fluctuations /  |r Riccardo Fiorito.  |g 5.  |t Modeling cointegrated processes by a vector-valued state space algorithm /  |r Ralf Ostermark.  |g 6.  |t A method for identification of combined deterministic stochastic systems /  |r David Di Ruscio.  |g 7.  |t Competing exchange rate models /  |r Jeffrey H. Dorfman.  |g 8.  |t Application of state-space models to ocean climate varibility in the Northeast Pacific ocean /  |r Roy Mendelssohn and Franklin B. Schwing --  |g Pt. III.  |t Applications of Neural Networks.  |g 1.  |t On the equivalence between ARMA models and simple recurrent neural networks /  |r Henrik Saxen.  |g 2.  |t Forecasting stock market indicies with recurrent neural networks /  |r Maxwell J. Rhee. 
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