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Convex combinations of long memory estimates from different sampling rates
(Escola de Pós-Graduação em Economia da FGV, 2003-07-02)
Convex combinations of long memory estimates using the same data observed at different sampling rates can decrease the standard deviation of the estimates, at the cost of inducing a slight bias. The convex combination of ...
Combining Aggregate and Plant-Level Data to Estimate a Discrete-Choice Demand ModelCombining Aggregate and Plant-Level Data to Estimate a Discrete-Choice Demand Model
(Sociedade Brasileira de Econometria, 2006)
Improved estimation of the particle size distribution from combined light scattering measurements
(Research Signpost, 2010)
Light scattering (LS) techniques, such as single-angle dynamic light scattering (DLS), elastic light scattering (ELS), and turbidimetry (T), are frequently used to estimate the particle size distribution (PSD) of a polymeric ...
Improved Linear Combination of Two Estimators for a Function of Interested Parameter
(Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ciencias - Departamento de Estadística, 2016-07-01)
In this paper, we consider the problem of improving the efficiency of alinear combination of two estimators, when the population coefficient of variation is known. We generalized the discussion from the case of a parameter ...
Improving the tracking capability of adaptive filters via convex combination
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
As is well known, Hessian-based adaptive filters (such as the recursive-least squares algorithm (RLS) for supervised adaptive filtering, or the Shalvi-Weinstein algorithm (SWA) for blind equalization) converge much faster ...
Combined parameter and state estimation in the radio frequency hyperthermia treatment of cancer
(Taylor & Francis, 2016-08-18)
Particle filters are general methods for the solution of state estimation problems, which can be applied to nonlinear models with non-Gaussian uncertainties. In this paper, an algorithm of the particle filter is used for ...
Bandwidth choice for robust nonparametric scale function estimation
(Elsevier, 2012-06)
We introduce and compare several robust procedures for bandwidth selection when estimating the variance function. These bandwidth selectors are to be used in combination with the robust scale estimates introduced by ...
On a hierarchical error estimator combined with a stabilized method for the navier-stokes equations
(JOHN WILEY & SONS INC, 2012)