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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Society & social sciences Sociology & anthropology Sociology

• Plný název: Maximum Likelihood Estimation
• Podnázev: Logic and Practice
• Autor: Scott R. Eliason
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 96
• EAN: 9780803941076
• ISBN: 0803941072
• ID: 04713878
• Nakladatelství: SAGE Publications Inc
• Hmotnost: 118 g
• Rozměry: 216 × 141 × 5 mm
• Datum vydání: 29. September 1993

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