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

-15% su kodu: ENG15
181,64 
Įprasta kaina: 213,69 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
181,64 
Įprasta kaina: 213,69 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 213.6900 InStock
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Knygos aprašymas

The 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. The monograph discusses theoretical aspects of CML methods, provides an overview of developments and applications of the CML inference approach, and explains why the approach can be particularly very effective for the estimation and analysis of high-dimensional heterogeneous data. In addition, it provides a blueprint (complete with matrix notation) to apply the CML estimation technique to a wide variety of discrete and mixed dependent variable model systems.

Informacija

Autorius: Chandra R. Bhat
Leidėjas: Now Publishers Inc
Išleidimo metai: 2014
Knygos puslapių skaičius: 132
ISBN-10: 1601988281
ISBN-13: 9781601988287
Formatas: 234 x 156 x 7 mm. Knyga minkštu viršeliu
Kalba: Anglų

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