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  5. Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models

Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models

af Chandra R. Bhat

indgår i Foundations and Trends (R) in Econometrics serien

Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models af Chandra R. Bhat
Bag om Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models

Takes a straightforward approach to illustrating the value of the CML method for the estimation of discrete and mixed dependent variable models in Econometrics. This book provides an overview of developments and applications, and explains why the approach can be effective for the analysis of high-dimensional heterogeneous data.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781601988287
  • Indbinding:
  • Paperback
  • Sideantal:
  • 132
  • Udgivet:
  • 17. juli 2014
  • Størrelse:
  • 157x234x11 mm.
  • Vægt:
  • 212 g.
  • BLACK NOVEMBER
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Leveringstid: 8-11 hverdage
Forventet levering: 20. november 2024

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Takes a straightforward approach to illustrating the value of the CML method for the estimation of discrete and mixed dependent variable models in Econometrics. This book provides an overview of developments and applications, and explains why the approach can be effective for the analysis of high-dimensional heterogeneous data.

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