Share
The Composite Marginal Likelihood (cml) Inference Approach With Applications To Discrete And Mixed Dependent Variable Models (foundations And Trends(r) In Econometrics) (in English)
Chandra R. Bhat
(Author)
·
Now Publishers
· Paperback
The Composite Marginal Likelihood (cml) Inference Approach With Applications To Discrete And Mixed Dependent Variable Models (foundations And Trends(r) In Econometrics) (in English) - Bhat, Chandra R.
$ 75.79
$ 90.00
You save: $ 14.21
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 24 and
Tuesday, June 25.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "The Composite Marginal Likelihood (cml) Inference Approach With Applications To Discrete And Mixed Dependent Variable Models (foundations And Trends(r) In Econometrics) (in English)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
