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The eigensystem realisation algorithm (ERA) is one of the most popular methods in civil engineering applications for estimating modal parameters.
The eigensystem realization algorithm (ERA) is one of the most popular methods in civil engineering applications for estimating the modal parameters, including complex-valued modal frequencies and modal vectors, of dynamic systems.
After validation in independent populations, use of associated SNPs within these QTL regions may be useful in reduced marker panel applications for estimating molecular breeding values and genomic-enhanced EPDs.
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GIS based application for estimating the seismic risk assessment of urban areas is developed and demonstrated for Mumbai city by Sinha et al., (2008).
A simple, rapid, selective, and specific high-performance liquid chromatography (HPLC) method was developed to quantitate glucosamine, and its application for estimating purity of chitin was investigated.
Overall, the methodological approach implemented here may have broad application for estimating kinship patterns in systems with limited genealogical information and/or in studying similarly challenging organisms in which obtaining biological materials from complete families is problematic.
A number of applications are available for estimating migration rates; these applications account for coalescence, mutation, and migration, including estimates of variation of migration, over a period of time.
Based on statistical error analysis, suitable correlations for field applications are recommended for estimating bubblepoint pressure, oil formation volume factor (FVF), oil compressibility and oil viscosity.
Four software applications implementing methods for estimating migration rates among populations are available: Migrate [8], Lamarc [32], IM [9] and BayesAss+ [7].
This correlation provides strong experimental support for the application of mgMOS for estimating gene expression level from microarray data.
Direct application of methods for estimating breeding values in crossbreeding situation can be problematic when association phase between markers and QTL differ in the two parental lines, which is increasingly likely when the distance between markers and QTL increases.
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