Our results demonstrate that the method provides better performance than a standard parametric model.
Despite this greater flexibility, we show that the matrix of probabilities can be estimated at the same rate as in standard parametric models.
This study uses propensity score matching to evaluate the success of an active labour market policy (the Welsh Assembly's 'Want2Work' programme) that cannot otherwise be evaluated using standard parametric techniques.
In this paper, we present algorithms to determine whether a given implicit or parametric algebraic surface is a rational ruled surface, and in the affirmative case, to compute a standard parametric representation for the surface.
Numerical experiments, with data generated by ARMAX and infinite-dimensional models, show the definite advantages of the new approach over standard parametric prediction error techniques and subspace methods both in terms of predictive capability on new data and accuracy in reconstruction of system impulse responses.
A standard parametric approach is the best linear unbiased estimator, which is often referred to as least squares channel estimation.
Second, econometric models that control for unobserved heterogeneity and endogeneity of training decisions report positive but smaller effects than standard parametric models.
A fundamental limitation of the standard parametric array processing algorithms is that the covariance matrix of background noise cannot, in general, be estimated along with the signal parameters.
For example, a mixture of two Gaussian distributions with different means and different variances results in a density with two modes, which is not a standard parametric distribution model.
In this way, the proposed approach uniquely addresses potential problems of small-sample bias typically met in standard parametric estimates and consistently supports management decisions of port operators regarding the internal and external operational environment and their competitive strategy.
The injury data were on an ordinal scale so they did not meet the assumptions of normal standard parametric methods; therefore, the median ratings and mean ranks of these ratings were used to analyse the injury data collected at the end of the experiment (179 DAT).
