Maximum Likelihood Estimation: Logic and Practice

Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences)
- Used Book in Good Condition
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.
Country USA
Brand Sage Publications
Manufacturer SAGE Publications, Inc
Binding Paperback
ItemPartNumber 9780803941076
Model 9780803941076
ReleaseDate 1993-08-09
UnitCount 1
EANs 9780803941076

Maximum Likelihood Estimation: Logic and Practice (Quantitative Applications in the Social Sciences)