Maximum Likelihood Estimation: Logic And Practice - Couverture souple

Eliason, Scott R.

Couverture souple

ISBN 10 : 0803941072 ISBN 13 : 9780803941076

Editeur : SAGE Publications, Inc, 1993

Synopsis

In this volume the underlying logic and practice of maximum likelihood (ML) estimation is made clear by providing a general modeling framework that utilizes the tools of ML methods. This framework offers readers a flexible modeling strategy since it accommodates cases from the simplest linear models to the most complex nonlinear models that link a system of endogenous and exogenous variables with non-normal distributions. Using examples to illustrate the techniques of finding ML estimators and estimates, Eliason discusses: what properties are desirable in an estimator; basic techniques for finding ML solutions; the general form of the covariance matrix for ML estimates; the sampling distribution of ML estimators; the application of ML in the normal distribution as well as in other useful distributions; and some helpful illustrations of likelihoods.

A propos du livre

À propos de l'auteur

RESEARCH AND TEACHING INTERESTS
Quantitative Methodology and Statistics; Sociology of Work, Occupations, and Labor Markets;
Economic Sociology; Stratification; Life Course

Détails de l'édition

• Éditeur: SAGE Publications, Inc
• Date d'édition: 1993
• Langue: anglais
• ISBN 10: 0803941072
• ISBN 13: 9780803941076
• Reliure: Broché
• Nombre de pages: 96
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible