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Melhoramentos inferenciais no modelo Beta-Skew-t-EGARCH
(Universidade Federal de Santa MariaBREngenharia de ProduçãoUFSMPrograma de Pós-Graduação em Engenharia de Produção, 2016-02-25)
The Beta-Skew-t-EGARCH model was recently proposed in literature to model the
volatility of financial returns. The inferences over the model parameters are based on the maximum
likelihood method. The maximum likelihood ...
ML-based Tracking Algorithms for MIMO-OFDM
(2007)
This article addresses the problem of tracking the carrier frequency offset (CFO) and sampling frequency offset (SFO) in burst MIMO-OFDM systems. The goal is to accomplish those tasks with the smallest possible piloting ...
Introducing the photometric maximum likelihood method: galaxy luminosity functions at z < 1.2 in MUSYC-ECDFS
(2009)
We present a new maximum likelihood method for the calculation of galaxy luminosity functions from multi-band photometric surveys without spectroscopic data. The method evaluates the likelihood of a trial luminosity function ...
Optimality of the maximum likelihood estimator in astrometry
(2018)
Context. Astrometry relies on the precise measurement of the positions and motions of celestial objects. Driven by the ever-increasing accuracy of astrometric measurements, it is important to critically assess the maximum ...
PROPERTIES AND METHODS OF ESTIMATION FOR A BIVARIATE EXPONENTIATED FRECHET DISTRIBUTION
(Walter De Gruyter Gmbh, 2020-10-01)
In this paper, a bivariate extension of exponentiated Frechet distribution is introduced, namely a bivariate exponentiated Frechet (BvEF) distribution whose marginals are univariate exponentiated Frechet distribution. ...
An Extension of the Epsilon-Skew-Normal Distribution
(TAYLOR & FRANCIS INC, 2010)
This article is related with the probabilistic and statistical properties of an parametric extension of the so-called epsilon-skew-normal (ESN) distribution introduced by Mudholkar and Hutson (2000), which considers an ...
Fast EM-like methods for maximum "a posteriori" estimates in emission tomography
(Ieee-inst Electrical Electronics Engineers IncNew YorkEUA, 2001)
O método de máxima Lq-verossimilhança em modelos com erros de medição
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2012-02-29)
In this work we consider a new estimator proposed by Ferrari & Yang (2010), called the maximum Lq-likelihood estimator (MLqE), to estimate the parameters of the measurement error models, in particular, the structural model. ...