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An extension to Philips´ Algorithm for Moment CalculationAn extension to Philips´ Algorithm for Moment Calculation
(Computación y Sistemas, 2009)
An Extension to Philips' Algorithm for Moment Calculation
(Revista Computación y Sistemas; Vol. 3 No. 1, 1999-09-10)
Abstract. A new reformulation of Philips’ algorithm for the computation of discrete image moments is presented. As Philips’ method, the new reformulation produces the same exact results but in a faster manner.
Moment ...
Finite sample properties of the efficient method of moments
(De Gruyter, 1997)
Gallant and Tauchen (1996) describe an estimation technique, known as Efficient Method of
Moments (EMM), that uses numerical methods to estimate parameters of a structural model. The technique uses
as matching conditions ...
Estimating Parameters of Gumbel Distribution using the Methods of Moments, probability weighted Moments and maximum likelihoodEstimating Parameters of Gumbel Distribution using the Methods of Moments, probability weighted Moments and maximum likelihood
(2012-03-02)
We derive here estimators for the parameters of the Gumbel distribution using three estimating methods, namely, the probability weighted moments, the moment and the maximum likelihood methods. Furthermore, we compare the ...
Estimating Parameters of Gumbel Distribution using the Methods of Moments, probability weighted Moments and maximum likelihoodEstimating Parameters of Gumbel Distribution using the Methods of Moments, probability weighted Moments and maximum likelihood
(2012-03-02)
We derive here estimators for the parameters of the Gumbel distribution using three estimating methods, namely, the probability weighted moments, the moment and the maximum likelihood methods. Furthermore, we compare the ...
Estimating parameters of Gumbel Distribution using the Methods of Moments, probability weighted moments and maximum likelihoodEstimating parameters of Gumbel Distribution using the Methods of Moments, probability weighted moments and maximum likelihood
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2005)
Prony's method and the connected-moments expansion
(IOP Publishing, 2013-01)
We show that Prony's method provides the full solution to the nonlinear equations of the connected-moments expansion (CMX). Knowledge of all the parameters in the CMX ansatz is useful for the analysis of the convergence ...
On moment-type estimators for a class of log-symmetric distributions
(Computacional Statistics, 2022)