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At the initial stage, samples were degassed for 3 h at 300 °C.
Typical two stage samples to achieve representativeness would include over 100 local level sampling points.
In the first stage, samples in sealed bottles were kept at 37°C for one week.
In the neural network stage, samples with new class labels were used in the design of the credit scoring model.
When auxiliary information is available at the design stage, samples may be selected by means of balanced sampling.
Samples may eventually collapse to a single point if, during the resampling stage, samples with high importance weights are duplicated an extremely large number of times.
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Furthermore, assume that the 100 samples with the highest values of a particular gene contain 99 high-stage samples and one low stage sample.
Moreover, in most register countries a database is available containing many variables to draw samples among specific groups in society, including stratified and multi-stage samples.
All the maturation-stage samples and all the secretory-stage samples were placed into non-overlapping groups.
One of the samples in the advanced stage clustered along with the early-stage samples and two advanced-stage samples clustered separately, and closer to early-stage cluster.
For example, assume that there are 250 high-stage samples and 50 low-stage samples for a total of 300 samples.
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