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dc.contributor.authorKuersteiner, Guido M.en_US
dc.coverage.temporalFall 2002en_US
dc.date.issued2002-12
dc.identifier14.384-Fall2002
dc.identifierlocal: 14.384
dc.identifierlocal: IMSCP-MD5-72fac4de18947a7908ca6183227e6a5b
dc.identifier.urihttp://hdl.handle.net/1721.1/46357
dc.description.abstractTheory and application of time series methods in econometrics, including representation theorems, decomposition theorems, prediction, spectral analysis, estimation with stationary and nonstationary processes, VARs, unit roots, and cointegration. From the course home page: Course Description The course is an introduction to univariate and multivariate time series models. It starts by introducing basic concepts and progresses to more complicated models. The course intends to meet two goals. It provides tools for empirical work with time series data and is an introduction into the theoretical foundation of time series models.en_US
dc.languageen-USen_US
dc.relationen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.en_US
dc.subjecttime series analysisen_US
dc.subjectunivariate time series modelen_US
dc.subjectmultivariate time series modelen_US
dc.subjecttime series modelen_US
dc.subjectEconometricsen_US
dc.title14.384 Time Series Analysis, Fall 2002en_US
dc.title.alternativeTime Series Analysisen_US


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