You might also like

More about Maximum Likelihood Estimation

• Book details
• Synopsis
• Trending among others

You get 66 loyalty points

Book synopsis

In this volume the underlying logic and practice of maximum likelihood (ML) estimation is made clear by providing a general modelling framework that utilizes the tools of ML methods. This framework offers readers a flexible modelling 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.

Book details

Book category Books in English Society & social sciences Sociology & anthropology Sociology

• Full title: Maximum Likelihood Estimation
• Subtitle: Logic and Practice
• Author: Scott R. Eliason
• Language: English
• Binding: Paperback
• Number of pages: 96
• EAN: 9780803941076
• ISBN: 0803941072
• ID: 04713878
• Publisher: SAGE Publications Inc
• Weight: 118 g
• Dimensions: 216 × 141 × 5 mm
• Date of publishing: 29. September 1993

---

---

---