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Estimació de màxima versemblança×Mètode dels Moments×
CampEstadísticaEnginyeria elèctrica
FamíliaRegression modelProcess / pipeline
Any d'origen19221968
Autor originalR. A. FisherRoger F. Harrington
TipusParametric point estimatorBoundary integral equation method for solving Maxwell equations
Font seminalFisher, R. A. (1922). On the mathematical foundations of theoretical statistics. Philosophical Transactions of the Royal Society of London, Series A, 222, 309–368. DOI ↗Harrington, R. F. (1968). Field Computation by Moment Methods. Macmillan. link ↗
ÀliesMLE, maximum-likelihood estimator, ML estimation, Fisher's method of maximum likelihoodMoM, Boundary element method (electromagnetics)
Relacionats43
ResumMaximum Likelihood Estimation (MLE) is a general-purpose parametric method for estimating the unknown parameters of a statistical model by finding the parameter values that make the observed data most probable. Formalized by R. A. Fisher in his landmark 1922 paper in the Philosophical Transactions of the Royal Society, MLE has become the dominant parameter-estimation paradigm in modern statistics and is the foundational engine behind logistic regression, generalized linear models, structural equation modeling, and virtually all parametric inference procedures.The Method of Moments (MoM) is a powerful numerical technique for solving electromagnetic boundary integral equations derived from Maxwell equations. Pioneered by Roger Harrington in 1968, MoM discretizes only radiating surfaces and boundaries (antennas, conductors, dielectrics), not the surrounding space, making it efficient for radiation and scattering problems. MoM remains the standard tool for antenna design, electromagnetic compatibility analysis, and RF/microwave engineering.
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ScholarGateCompara mètodes: Maximum Likelihood Estimation · Method of Moments. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare