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In the simulation results, the MSE averages of the proposed methods were smaller than that of the other adaptive localization methods and robust positioning algorithms.
Hence, methods of fertility measurement using the reported parity-fertility data and age-sex population structure can be dependable when best methods and robust assumption on generating fertility estimates are made.
In contrast, as mentioned above, in cells expressing A2AR-D2R, curvesition curves were biphasic, and binding data were then fitted to eq. 2 (Methods) and robust parameters were obtained (Table 4).
It requires input from clinicians, health service researchers, social scientists, and human factors and systems engineers; in addition, it uses change theory, mixed methods, and robust evaluation.
For example, simple substitution methods, parametric methods, nonparametric Kaplan-Meier methods, and robust regression on order statistics methods can be used to obtain summary statistics (e.g., means, standard deviations, medians, and percentiles) for left-censored data.
The use of advanced phylogenetic methods and robust structure-based multiple sequence alignments allowed us to obtain a more accurate picture (in terms of probability of the tree topologies) of the evolutionary affinities between double-stranded RNA and positive strand RNA viruses.
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Pearson χ was used as scale parameter method and robust estimator for the covariance matrix.
Pearson χ was used as the scale parameter method and robust estimator for the covariance matrix.
(Taguchi Methods™ and Robust Design™ are registered trademarks of the American Supplier Institute for Taguchi methodology. In this paper, Taguchi Methods or methodology is used in the singular and without the trademark symbol, and mostly its acronym, TM, is used).
When ρ=1, performance of the proposed methods and the robust algorithm against CSI estimation error become same.
Raw data files were obtained from several databases (see material and methods) and RMA (Robust Multi-Array Average) normalized.
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