Sentence examples for statistical estimation method from inspiring English sources

The primary strength of the system is a scientifically rigorous design-based statistical estimation method that produces estimates of forest attributes with known sampling error and quantifiable measurement error.

This estimation is typically performed using two phases: first, a multiple sequence alignment (MSA) is estimated, and then a statistical estimation method [such as maximum likelihood (ML)] is applied to the alignment.

In all, 200 different random reclassifications of every tweet are employed, and each such reclassification leads to a new realization of the network to which we apply our statistical estimation method.

Such an approach enriches the family of probability distributions we may consider to modeling increasingly fragmented data sets and developing the estimate of their parameters based on conventional statistical estimation methods.

A multi-dimensional nonlinear model encompassing these findings is designed and calibrated with statistical estimation methods.

While three statistical estimation methods are available in LOADEST, for the purposes of this study, adjusted maximum likelihood estimation (AMLE) was used (Eq. 1).

In [13, 17, 18], statistical estimation methods are proposed in the case that the statistical knowledge such as the propagation scattering models or the NLOS delays statistics are known.

Subsequently, to further describe the scattering of the incident sound by the physical structures, many researchers explored some non-linear multivariable statistical estimation methods to improve the performance of HRTF customization [25, 30 32].

They range from process-based prediction methods to data-driven statistical estimation methods.

One might suspect that robust quantification of core and pan genomes sizes could be achieved with improved statistical estimation methods, combined with increased sequencing coverage.

The study objectives were (1) to evaluate the performance of various statistical load estimation methods for different combinations of monitoring durations and frequencies on nitrate-N load estimation accuracy, and (2) to develop and validate new empirical error correction techniques applied to the selected load estimation methods.