Skip to main navigation Skip to main content
info(at)avldigital.remove-this.de
Deutsch English
Narrow Search
Search narrowed by
Last searches

Results for *

Displaying results 1 to 2 of 2.

  1. Econometric modeling and inference
    Author: Florens, J. P.
    Published: 2007
    Publisher:  Cambridge University Press, Cambridge

    Presents the main statistical tools of econometrics more

    Location:
    Hochschulbibliothek Friedensau
    Signature:
    Online-Ressource
    Inter-library loan:
    No inter-library loan

     

    Presents the main statistical tools of econometrics

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Source: Union catalogues
    Contributor: Florens, J. P.
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 0521876400; 052170006X; 9780521876407; 9780521700061
    Series: Themes in modern econometrics
    Subjects: Economics; Econometric models; Econometrics
    Scope: Online-Ressource (xxi, 496 p), 24 cm
    Notes:

    Includes bibliographical references (p. 477-492) and index

    Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Foreword; Preface; Part I: Statistical Methods; 1 Statistical Models; 2 Sequential Models and Asymptotics; 3 Estimation by Maximization and by the Method of Moments; 4 Asymptotic Tests; 5 Nonparametric Methods; 6 Simulation Methods; Part II: Regression Models; 7 Conditional Expectation; 8 Univariate Regression; 9 Generalized Least Squares Method, Heteroskedasticity, and Multivariate Regression ; 10 Nonparametric Estimation of the Regression ; 11 Discrete Variables and Partially Observed Models ; Part III: Dynamic Models

    12 Stationary Dynamic Models13 Nonstationary Processes and Cointegration; 14 Models for Conditional Variance; 15 Nonlinear Dynamic Models; Part IV: Structural Modeling; 16 Identification and Overidentification in Structural Modeling; 17 Simultaneity; 18 Models with Unobservable Variables; Bibliography; Index

    Electronic reproduction; Available via World Wide Web
  2. Econometric modeling and inference
    Author: Florens, Jean-Pierre; Marimoutou, Vêlayoudom; Péguin-Feissolle, Anne
    Published: [2007]
    Publisher:  Cambridge University Press, Cambridge

    Presents the main statistical tools of econometrics more

    Location:
    Universität Konstanz, Kommunikations-, Informations-, Medienzentrum (KIM)
    Inter-library loan:
    No inter-library loan

    Location:
    Hochschulbibliothek Friedensau
    Signature:
    Online-Ressource
    Inter-library loan:
    No inter-library loan

     

    Presents the main statistical tools of econometrics

     
    Export to reference management software   RIS file
      BibTeX file
    Content information
    Volltext (lizenzpflichtig)
    Source: Union catalogues
    Contributor: Perktold, Josef (ÜbersetzerIn); Carrasco, Marine (ÜbersetzerIn)
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9780511333576; 0521876400; 052170006X; 9780521876407; 9780521700061
    RVK Categories: QH 300
    Series: Themes in modern econometrics
    Subjects: Ökonometrisches Modell; Ökonometrie; Economics; Econometric models; Econometrics; Econometric models; Econometrics; Economics
    Scope: 1 Online-Ressource
    Notes:

    Includes bibliographical references (p. 477-492) and index

    Cover; Half-title; Series-title; Title; Copyright; Dedication; Contents; Foreword; Preface; Part I: Statistical Methods; 1 Statistical Models; 2 Sequential Models and Asymptotics; 3 Estimation by Maximization and by the Method of Moments; 4 Asymptotic Tests; 5 Nonparametric Methods; 6 Simulation Methods; Part II: Regression Models; 7 Conditional Expectation; 8 Univariate Regression; 9 Generalized Least Squares Method, Heteroskedasticity, and Multivariate Regression ; 10 Nonparametric Estimation of the Regression ; 11 Discrete Variables and Partially Observed Models ; Part III: Dynamic Models

    12 Stationary Dynamic Models13 Nonstationary Processes and Cointegration; 14 Models for Conditional Variance; 15 Nonlinear Dynamic Models; Part IV: Structural Modeling; 16 Identification and Overidentification in Structural Modeling; 17 Simultaneity; 18 Models with Unobservable Variables; Bibliography; Index