A course in time series analysis /

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Bibliographic Details
Imprint:New York : John Wiley, c2001.
Description:xvii, 460 p. : ill. ; 25 cm.
Language:English
Series:Wiley series in probability and statistics : probability and statistics section.
Wiley series in probability and statistics. Probability and statistics.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4375623
Hidden Bibliographic Details
Other authors / contributors:Peña, Daniel, 1948-
Tiao, George C., 1933-
Tsay, Ruey S., 1951-
ISBN:047136164X (cloth : alk. paper)
Notes:Includes bibliographical references and index.

MARC

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300 |a xvii, 460 p. :  |b ill. ;  |c 25 cm. 
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504 |a Includes bibliographical references and index. 
505 0 0 |t About ECAS --  |g 1.  |t Introduction /  |r D. Pena and G. C. Tiao --  |g 2.  |t Univariate Time Series: Autocorrelation, Linear Prediction, Spectrum, and State-Space Model /  |r G. T. Wilson --  |g 3.  |t Univariate Autoregressive Moving-Average Models /  |r G. C. Tiao --  |g 4.  |t Model Fitting and Checking, and the Kalman Filter /  |r G. T. Wilson --  |g 5.  |t Prediction and Model Selection /  |r D. Pena --  |g 6.  |t Outliers, Influential Observations, and Missing Data /  |r D. Pena --  |g 7.  |t Automatic Modeling Methods for Univariate Series /  |r V. Gomez and A. Maravall --  |g 8.  |t Seasonal Adjustment and Signal Extraction Time Series /  |r V. Gomez and A. Maravall --  |g 9.  |t Heteroscedastic Models /  |r R. S. Tsay --  |g 10.  |t Nonlinear Time Series Models: Testing and Applications /  |r R. S. Tsay --  |g 11.  |t Bayesian Time Series Analysis /  |r R. S. Tsay --  |g 12.  |t Nonparametric Time Series Analysis: Nonparametric Regression, Locally Weighted Regression, Autoregression, and Quantile Regression /  |r S. Heiler --  |g 13.  |t Neural Network Models /  |r K. Hornik and F. Leisch --  |g 14.  |t Vector ARMA Models /  |r G. C. Tiao --  |g 15.  |t Cointegration in the VAR Model /  |r S. Johansen --  |g 16.  |t Identification of Linear Dynamic Multiinput/Multioutput Systems /  |r M. Deistler. 
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