Sentence examples for methods to statistically from inspiring English sources

Exact(5)

Namely, we (1) construct dynamic PHEV models with scalable battery energy capacities, (2) optimize power management using stochastic control theory, and (3) develop simulation methods to statistically quantify the performance tradeoffs.

This debate generated tremendous controversy (Hull 1988) and it spurred on the development of methods to statistically correct for dependence among species' trait values when assessing an adaptive hypothesis (Felsenstein 1985, Harvey and Pagel 1991).

Unfortunately, the procedures to collect the necessary data and methods to statistically detect, identify, and correct for the myriad of potential factors that can contribute to self-selection bias (Cuddeback et al. 2004) are beyond the scope of this study.

Here we used the appropriate survey design correction methods to statistically account for the potential confounding due to study design.

There are a number of computational methods to statistically screen for recurrent genomic aberrations, most of which are based on permutation tests (Morganella et al., 2011).

Similar(55)

The MRF acquisition was repeated 12 times allowing for sample repositioning as well as scanner adjustments to test the capability of the DC-MRF method to statistically differentiate samples with both contrast agents.

This resulted in a method to statistically differentiate between the dissolution processes of the capsules in different media.

This work focuses on development of a method to statistically study forming and springback problems of TRansformation Induced Plasticity (TRIP) through an industrial case study.

Earlier, we developed a method to statistically construct individuals' haplotypes and to estimate the distribution of haplotypes of multiple SNPs in a defined population, by use of estimating-equation techniques.

This paper proposes a robust method to statistically rank SE features in a 64-channel EEG recording for the identification of visual ERP's produced in the brain that are highly discriminative of alcoholics and control groups.

We have already published some preliminary results of this work in [20], but this article now offers much more details on our proposed interference estimation technique, as well as a quite different and more efficient method to statistically justify the wireless coexistence approval.

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