In order to reduce the computational burden and improve the estimation accuracy, we obtain search-free estimator of DOAs based on polynomial rooting.
However, aside from resonance, the peak-bias-free estimator proves to be the worst of the three estimators.
By allowing for fluctuating coalescent times, we are able to improve a previously published alignment-free estimator of π.
Non-parametric estimators can be arbitrarily well approximated, this property is called consistency and it is the major reason for the popularity of model-free estimators.
The reference-free estimators do not suffer from a poor reference selection, which can seriously degrade the localization performance of reference-based LS estimators.
Neural network and fuzzy logic are model-free estimators and share the common ability to deal with the uncertainties and noise (Yager and Zadeh 1994).
From this small set of residues, a crude, but fast free energy estimator [2] was used to check substitutions which should destabilize the dimer while not destabilizing the monomer.
Further, V1 is the asymptotically distribution free (ADF) estimator of the covariance of the sample means and covariances involving fourth-order moments of the data [ 12].
To this end, in addition to the bootstrap analysis to evaluate the statistical uncertainty of the free energy estimator, we decided to repeat the calculations three times, in order to obtain an approximation of the uncertainty due to finite sampling (for ligand 11, four repeats were performed, as explained in the Methods section).
Regarding the current leukaemia-free survival estimator and the corresponding Markov model estimator, half of the estimates based on the larger sample size are closer to the true value than 2.2%and2.1%1%, respectively (Table 4).
A new residual type flux-free error estimator is presented.
