Data/hora: 12/06/2024 13:53:00

Provedor de dados: | 31
País: | United States
Título: | Maximum likelihood with estimating equations
Autores: | Grendar,   Marian; Judge,   George G.
Data: | 2010-01-22
Ano: | 2010
Palavras-chave: | Maximum likelihood; Estimating equations; Empirical likelihood; Research Methods/ Statistical Methods.
Resumo: | Methods, like Maximum Empirical Likelihood (MEL), that operate within the Empirical Estimating Equations (E3) approach to estimation and inference are challenged by the Empty Set Problem (ESP). We propose to return from E3 back to the Estimating Equations, and to use the Maximum Likelihood method. In the discrete case the Maximum Likelihood with Estimating Equations (MLEE) method avoids ESP. In the continuous case, how to make ML-EE operational is an open question. Instead of it, we propose a Patched Empirical Likelihood, and demonstrate that it avoids ESP. The methods enjoy, in general, the same asymptotic properties as MEL.
Tipo: | Working or Discussion Paper
Idioma: | Inglês
Identificador: | http://purl.umn.edu/56691

Relação:

University of California, Berkeley&gt;Department of Agricultural and Resource Economics&gt;CUDARE Working Papers

CUDARE Working Paper

1094

Formato: | 8