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Since the main assumption of matching methods is that the selection into migration is not affected by unobservable characteristics, these results have to be interpreted with care.
The purpose of developing automated matching methods is to create an initial population of vocabulary matches across different systems, which can be reviewed by a terminology expert.
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For instant, in [41], the suboptimal impedance matching and multiport ladder matching methods were introduced to enhance the matching performance and harvested power of antennas, respectively.
Then propensity score matching methods are also applied for comparison.
The classical ARG and 2D string matching methods are evaluated.
Propensity score matching methods are applied to estimate the effects of migration in children 10 15 years old from a 2010 national survey (N = 2,417).
Traditional history matching methods are not appropriate because the pixel-based rock property fields are usually highly non-Gaussian.
Both instrumentation and propensity score matching methods are used.
However, traditional correlation-based image matching methods are sensitive to rotation and scale changes.
Two fast peak-to-peak spectral matching methods were developed, the nearest neighbour and discrete genetic algorithm methods.
As propensity score matching methods are sensitive to the exact specification and matching method, the use of different matching techniques serves as a robustness check.
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