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In this study, we describe the development of a method, termed PCO-MC, which uses PCO followed by a statistically rigorous density clustering procedure ("modal clustering") to infer population structure.
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The best candidate for the actual rank distribution remains an open question [11] [14] for two reasons: first, the goodness of the fit provided by Eq. 1 in a statistically rigorous sense is questionable and, second, the best function may not be unique [15].
In summary, we seek to improve the power to infer clades in rapidly emerging taxa by making use of indel information in a statistically rigorous manner.
The HaploReg enrichment test applied is a statistically rigorous approach for this purpose that uses a rigorously defined genomic background given all the SNPs genotyped (35).
In summary, the statistical approaches developed for ecology are maturing towards a statistically rigorous, explanatory and possibly predictive framework for linking theory, data and applications.
If, as the administration says, the aim is to set the COLA in the most accurate way possible, then the obvious approach is to have the Bureau of Labor Statistics develop a statistically rigorous index to track inflation as experienced by retirees.
This is a statistically rigorous study of studies, rather than a mere summary of the literature.
In this talk we report a statistically rigorous analysis of cognate docking using tools in the OEDocking suite [1, 2].
We develop a formal characterization of the utility problem and introduce COMPOSER, a statistically rigorous learning approach which avoids the utility problem.
The MAD/MAF method thus provides a "statistically rigorous system to determine the spatially coherent patterns of major change in an image sequence" [12].
Multiple imputation, a statistically rigorous approach that approximates missing data and preserves sample size, may be an improvement over complete case analysis.
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