Maximum Likelihood Estimation

Maximum Likelihood Estimation

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.
Al momento non disponibile, ordinabile in 3 settimane circa

Dettagli Libro

Libri che ti potrebbero interessare

Essere amici di Gesù
Essere amici di Gesù

Arrigoni, Valter M.
Indemoniato!
Indemoniato!

Stefano Disegni
Elogio dell'imperfezione
Elogio dell'imperfezione

Levi-Montalcini Rita
Rose e cenere
Rose e cenere

A. Veraldi, James Purdy
Massimo della vita
Massimo della vita

Alessandro Militi
Estetiche del camouflage
Estetiche del camouflage

C. Casarin, D. Fornari
Il formicaio
Il formicaio

Margit Kaffka, L. Sgarioto
Edilizia privata in Sicilia
Edilizia privata in Sicilia

Monteleone Giuseppe