Share
Econometric Applications of Maximum Likelihood Methods Paperback: 0
Jan Salomon Cramer (Author)
·
Cambridge University Press
· Paperback
Econometric Applications of Maximum Likelihood Methods Paperback: 0 - Jan Salomon Cramer
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: Spain
(Import costs included in the price)
It will be shipped from our warehouse between
Thursday, June 20 and
Monday, July 01.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Econometric Applications of Maximum Likelihood Methods Paperback: 0"
The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own.
- 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.