In this article we discuss the statistical models implemented in BGLR (Statistical Models, Algorithms, and Data), present several examples based on real and simulated data (Application Examples), and provide benchmarks of computational time and memory usage for a linear model (Benchmark of Parametric Models).
This is recognised in the government's 2005 funding model, benchmarked to the number of qualified staff employed and a collective agreement linked to pay parity (Ministry of Education, 2005).
Predictive models provide benchmarks of the impact of semi-autonomous vehicles on insurance rates.
An expanded database of accurate interfacial area concentration measurements at higher pressures would allow further improvement of the model benchmark and expansion of the range of applicability of the model.
Manandhar and Tang (2002) categorized DEA models for benchmarking of bank branches into "operating efficiency", "service quality efficiency", and "profitability efficiency".
Several of our models benchmarked here are multi-task, however for simplicity we grouped the different methods on underlying machine learning algorithm.
Knight, J. L., Mekler, V., Mukhopadhyay, J., Ebright, R. H. & Levy, R. M. Distance-restrained docking of rifampicin and rifamycin SV to RNA polymerase using systematic FRET measurements: developing benchmarks of model quality and reliability.
The results show that the predictive and classification error of the elastic net model are statistically comparable to benchmarks of the best pattern recognition tools whereas it overcomes correlation problems and performs variable selection at the same time, resulting in a simpler and more interpretable model.
This value is based on benchmark dose modeling of data of decreased lymphocyte count in highly exposed workers (Rothman et al., 1996).
Apple's iTunes and iPhoto are benchmarks of this model.
