The authors of [30] propose an alternate technique for harmonic envelope estimation, called harmonic temporal envelope similarity (HTES).
Consequently, we propose to apply an advanced method of rare event estimation called importance splitting to decrease the quantile relative error.
In 1960-1961 Kalman [1] and Kalman and Bucy [2] proposed a method of estimation, called Kalman filtering, for linear dynamical systems corrupted by white noise processes.
Finally, a related performance criterion in distributed estimation, called the distortion exponent, measures the slope of the average end-to-end distortion on a log-log scale at high signal-to-noise ratio (SNR) [10].
Existing studies on network robustness usually exploit a single network metric to generate attack strategies, which simulate intentional attacks on a network, and compute a metric-induced robustness estimation, called R. While some metrics are easy to compute, e.g. degree, others require considerable computation efforts, e.g. betweenness centrality.
Within the framework of an automatic/manual CMT estimation called the source-parameter determinations based on waveform inversion of Fourier Transformed seismograms (SWIFT) system (Nakano et al. 2008, 2010), the NIED has routinely analyzed the observed seismic data and maintained a database of the estimated CMTs of earthquakes that have occurred throughout the regional seismic networks.
New evolutionary algorithms based on statistical estimation, called estimation of distribution algorithms [ 15, 67], enable Bayesian probability distributions to be used as input data to optimize system parameters.
In this paper we consider a new approach for supertree estimation, called MRL (Matrix Representation with Likelihood).
Recently we proposed a novel approach to metabolic systems estimation, called Dynamic Flux Estimation (DFE), that ameliorates several of the issues listed above [ 10].
In order to answer this question we used a plasticity estimation called the Growth Response Coefficient (GRC; Poorter and Van der Werf 1998): the relative change in one of the growth determinants, scaled with respect to the relative change in RGR (Poorter and Nagel 2000; see Methods section) due to defoliation.
