| Hay 10 enlaces en la categoría Econometrics |
 An Introduction to Classical Econometric Theory
Supporting :l: Paul :l: Ruud's :l: textbook. :l: :l: Provides :l: excerpts :l: from :l: the :l: book, :l: data :l: sets, :l: MATLAB :l: code, :l: exercise :l: solutions, :l: and :l: answers :l: to :l: frequent :l: questions.
http://elsa.berkeley.edu/~ruud/cet/
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Discussion Papers in Statistics and Econometrics
From :l: the :l: University :l: of :l: Koeln :l: in :l: Germany. :l: :l: A :l: list :l: of :l: publications. :l: Those :l: available :l: on :l: line :l: are :l: in :l: PDF :l: or :l: PostScript :l: format.
http://www.uni-koeln.de/wiso-fak/wisostatsem/papers/discpap_e.html
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Discussion Papers in Statistics and Econometrics
A :l: list :l: of :l: papers. :l: Those :l: available :l: on :l: line :l: are :l: in :l: PDF :l: or :l: PostScript :l: format.
http://www.uni-koeln.de/wiso-fak/wisostatsem/papers/discpap_e.html
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Econometric Links of the Econometrics Journal
A :l: comprehensive :l: and :l: well-maintained :l: link :l: page :l: all :l: about :l: econometrics.
http://www.feweb.vu.nl/econometriclinks/
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Econometric Resources on the Net
Designed :l: to :l: assist :l: econometrics :l: students :l: and :l: practicing :l: econometricians, :l: by :l: John :l: Kane.
http://www.oswego.edu/~kane/econometrics/
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Econometrics Laboratory- UC Berkeley
Home :l: of :l: TSP :l: software :l: and :l: 2000 :l: Nobel :l: Prize :l: Winner :l: Daniel :l: McFadden
http://emlab.berkeley.edu/eml/index.html
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Econometrics Linear Regression Model
Online :l: computation :l: tool :l: to :l: evaluate :l: structural :l: parameters, :l: variance, :l: coefficient :l: correlation, :l: analysis :l: of :l: rest, :l: and :l: verification :l: statistics.
http://semmix.pl/mats/ml/modline.html
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EDIRC - ectrix: Econometric institutes, departments and associations
Contact :l: information: :l: Address :l: and :l: URL.
http://ideas.uqam.ca/EDIRC/ectrix.html
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Engle, Robert
Personal :l: page :l: of :l: Nobel :l: awarded :l: professor. :l: :l: Provides :l: personal :l: information :l: and :l: working :l: papers.
http://pages.stern.nyu.edu/~rengle/
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Group Method of Data Handling
Description :l: of :l: the :l: inductive :l: Group :l: Method :l: of :l: Data :l: Handling :l: (GMDH). :l: Self-organization :l: approach :l: applied :l: in :l: forecasting :l: and :l: systems :l: modelling, :l: optimization, :l: pattern :l: recognition :l: and :l: clusterization :l: by :l: neural :l: networks :l: (ANN), :l: data :l: mining :l: and :l: knowledge :l: discovery.
http://www.gmdh.net/
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