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Generalized Method of Moments Estimation
2008Generalized method of moments (GMM) refers to a class of estimators constructed from the sample moment counterparts of population moment conditions (sometimes known as orthogonality conditions) of the data generating model. GMM estimators have become widely used, for the following reasons: 1.
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2011
The quantum hydrodynamic model for plasmas is extended through the inclusion of higher-order moments of the Wigner function. In this manner, quantum effects appear without the need of the Madelung decomposition of the ensemble wavefunctions. The treatment apply to the electrostatic as well as the electromagnetic cases.
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The quantum hydrodynamic model for plasmas is extended through the inclusion of higher-order moments of the Wigner function. In this manner, quantum effects appear without the need of the Madelung decomposition of the ensemble wavefunctions. The treatment apply to the electrostatic as well as the electromagnetic cases.
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1998
Abstract Although the methods of maximum likelihood and least squares lead to estimators with optimal or nearly optimal properties, they are sometimes difficult to implement. An alternative technique of parameter estimation is the method of moments (MM). Although the variances of MM estimators are not in general as small as those from
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Abstract Although the methods of maximum likelihood and least squares lead to estimators with optimal or nearly optimal properties, they are sometimes difficult to implement. An alternative technique of parameter estimation is the method of moments (MM). Although the variances of MM estimators are not in general as small as those from
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A regularized method of moments for three-dimensional time-harmonic electromagnetic scattering
Applied Mathematics Letters, 2021Junpu Li, Qinghua Qin, Lan Zhang
exaly
Generalized Method of Moments and Empirical Likelihood
Journal of Business and Economic Statistics, 2002Guido W Imbens
exaly