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  2. Generalized method of moments - Wikipedia

    en.wikipedia.org/wiki/Generalized_method_of_moments

    In econometrics and statistics, the generalized method of moments (GMM) is a generic method for estimating parameters in statistical models.Usually it is applied in the context of semiparametric models, where the parameter of interest is finite-dimensional, whereas the full shape of the data's distribution function may not be known, and therefore maximum likelihood estimation is not applicable.

  3. Extremum estimator - Wikipedia

    en.wikipedia.org/wiki/Extremum_estimator

    Download as PDF; Printable version; ... (Θ = R in this example), ... Generalized method of moments estimator is defined through the objective function ^ ...

  4. Method of moments (statistics) - Wikipedia

    en.wikipedia.org/wiki/Method_of_moments_(statistics)

    An example application of the method of moments is to estimate polynomial probability density distributions. In this case, an approximating polynomial of order is defined on an interval [,]. The method of moments then yields a system of equations, whose solution involves the inversion of a Hankel matrix. [2]

  5. Optimal instruments - Wikipedia

    en.wikipedia.org/wiki/Optimal_instruments

    To estimate parameters of a conditional moment model, the statistician can derive an expectation function (defining "moment conditions") and use the generalized method of moments (GMM). However, there are infinitely many moment conditions that can be generated from a single model; optimal instruments provide the most efficient moment conditions.

  6. Arellano–Bond estimator - Wikipedia

    en.wikipedia.org/wiki/Arellano–Bond_estimator

    In econometrics, the Arellano–Bond estimator is a generalized method of moments estimator used to estimate dynamic models of panel data.It was proposed in 1991 by Manuel Arellano and Stephen Bond, [1] based on the earlier work by Alok Bhargava and John Denis Sargan in 1983, for addressing certain endogeneity problems. [2]

  7. Estimating equations - Wikipedia

    en.wikipedia.org/wiki/Estimating_equations

    In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated.This can be thought of as a generalisation of many classical methods—the method of moments, least squares, and maximum likelihood—as well as some recent methods like M-estimators.

  8. Generalized estimating equation - Wikipedia

    en.wikipedia.org/wiki/Generalized_estimating...

    1.1 Relationship with Generalized Method of Moments. 2 Computation. 3 See also. ... Download as PDF; Printable version ... Examples of variance structure ...

  9. Method of moments (electromagnetics) - Wikipedia

    en.wikipedia.org/wiki/Method_of_moments...

    The method of moments (MoM), also known as the moment method and method of weighted residuals, [1] is a numerical method in computational electromagnetics. It is used in computer programs that simulate the interaction of electromagnetic fields such as radio waves with matter, for example antenna simulation programs like NEC that calculate the ...