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In the framework of multilevel studies an important problem is calculating an adequate sample size that generates unbiased and accurate estimates.
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Prediction-based information generation, aimed at generating unbiased and consistent traffic information for dissemination to travelers.
The RM method also provides a straightforward way to generate unbiased starting models to derive independent 3D reconstructions and obtain a more reliable assessment of resolution.
Our aims were to (1) generate unbiased estimates of brown hyaena occupancy and abundance (2) investigate two suspected determinants of occupancy using a combination of biological and socio-economic sampling techniques, and (3) use simulations to evaluate the effort required for abundance and occupancy estimates with acceptable bias, precision and power.
The process is repeated ten times in a cross-validation procedure to generate unbiased results.
We observed that our MN-TRNGs generated unbiased random sequences that had enough entropy.
Predicted Y (yhat) is an explanatory variable in the second-stage survival estimation to generate unbiased and robust estimates.
We proved that our algorithms generate unbiased estimators for various aggregate functions and provide an approach to calculate the confidence intervals.
For basal area, RF produced models with lower RMSE (18.39%) when compared with SVM RMSEE = 19.35%) and k-NN (RMSE = 20.20%); however, only k-NN was able to generate unbiased estimation compared with the other two algorithms used.
Thus, SOMAmer technology enables an efficient and scalable pipeline to generate unbiased content for proteomics arrays.
Where we employ null models for reasons other than normalisation, we use exact algorithms for generating unbiased null models that have only recently become available.
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