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Still, HRX often seems to hold over regions of X which are of practical relevance for many empirical data settings.
Numerical simulations on many empirical data sets show the efficiency of our approach with respect to the standard Branch and Bound algorithm.
These observations together with the fact that the NBL – at least approximately – applies to many empirical data led to the suspicion that the size of 'natural' objects must follow a distribution behaving like a survival distribution in order to be able to obey the NBL.
The NBL has been shown to fit rather closely many empirical data: in addition to most of those analyzed by Benford [2], among others, stock index returns [27], stock prices [28], eBay auctions [29], and consumer prices half a year after the introduction of the Euro in 2002 [30].
Although intuitively satisfying, autocorrelation of rates has not been demonstrated in the literature; in fact, Drummond et al [ 47] report that many empirical data sets do not exhibit significant autocorrelation of rates.
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This model has been employed in many empirical studies using data from all countries.
Due to the inherent uncertainty in many types of empirical data, it may be practically impossible to conclude that a long and detailed empirical time series is stationary in the sense that there is no significant trend at any reasonable confidence level.
Though the empirical arguments, like the zombie claims, require one to consider seriously whether some forms of consciousness may be less causally potent than is typically assumed, many theorists regard the empirical data as no real threat to the causal status of consciousness.
For almost 20 years, connectionist models have increasingly been used to model empirical data across many areas of language processing.
Despite that, not many studies have considered using empirical data to investigate what features of the road environment influence a driver's compliance choice.
Second, the lack of relevant empirical data precludes many models from being appropriately initialized and validated, limiting the value of such models for exploring emergent properties or for policy evaluation.
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many realistic data
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many empirical correlations
many beneficial data
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many empirical expressions
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