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One of the advantages of the p-values based methods for estimating
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MARS is an attribute based method for estimating rates of substitution among fire protection attributes in a spatial context.
The main focus of this paper is on the development of a Monte Carlo based method for estimating the reliability of structural systems.
In this paper, we propose a principal-component-regression- (PCR-) based method for estimating RT variability.
The advantage of the linear regression based method for estimating transcription factor activities is that calculations use existing high-throughput data to provide an elegant, purely computational solution for finding not only the most periodic and most robustly oscillating transcription factors, but also the network of relationships between them.
Table 8 contains three different anchor-based methods for estimating the MID based on data from this study.
Ground-based methods for estimating forest productivity and carbon fluxes are often based on stem diameter and respiration measurements (stem, leaves and soil), mortality and litter fall (Malhi et al. 2009).
In order to improve the efficiency, the accuracy and the robustness of the sampling-based methods for estimating the variance-based sensitivity indices, a new efficient method based on the combination of the unconditional expectation, the conditional expectation and the multiplication approximation of the response function is proposed in this paper.
Station- and grid-based methods for estimating reference evapotranspiration are developed and coupled to GIS technology.
The present review begins to show how these two steps are aiding in the development of physics-based methods for estimating transition in flight.
Conventional displacement-based methods for estimating stress intensity factors require special quarter-point finite elements in the first layer of elements around the fracture tip and substantial near-tip region mesh refinement.
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