(2012) and this study could be due to their use of a parametric estimation
model, while the approach in this study was non-parametric.
In statistics, classical parametric estimation
methods rely on data assumptions (normality, independence, constant mean and scattering) that often are not met in practice.
Thielemans, "Study of direct and indirect parametric estimation
methods of linear models in dynamic positron emission tomography," Medical Physics, vol.
The different parametric estimation
algorithms were based on the knowledge of the bounds of the unmodelled dynamics.
The approach to correct for selectivity bias proposed by Heckman (1979) is a parametric estimation
that assumes normality on the disturbance distribution.
We note that some implementation difficulties are presented in the formulation of the parametric estimation
problem in spite of the presence of some redundant parameters in model (4).
Also, novel, parametric estimation
procedures will be designed to estimate the parameters of new tempo-spatial stochastic volatility models based on a quasi-maximum-likelihood framework.The completion of this project will be a major breakthrough in statistics and will solidify Europes leadership in this field.
They mainly include the generalized correlation method , the statistical method , the parametric estimation
method , the adaptive estimation method  , the combinational estimation method , and the [l.sub.p]-norm minimization-based estimation method .
of income distributions and indicators of poverty and social exclusion.
Girardi and Ergun (2013) and Jiang (2012) discuss alternative parametric estimation
The Nelson and Siegel model (1987) provides a methodology of parametric estimation
of a yield curve that adjusts to the market observations and concentrates in the evolution of the instantaneous forward rate.
Columns 1-2 of Table 2 report the parametric estimation