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So that does have that correct sample.
Since online shopping is only observed for Internet users, we use the Heckman's two-step model to correct sample selection.
The critical importance of sample mass rather than increment mass, correct sample cutter design and operation, disallowing non-representative sampling from stationary situations, and the benefits of routine inspection of mechanical sampling systems are specifically discussed.
The correct sample size to use in an experiment depends primarily on three things: the design of the study, the size of the treatment effects that one reasonably expects or hopes will occur, and the acceptable level of risk that effects of that size will indeed occur but the statistical tests will fail to detect.
In this case, we assume that D-ForenRIA has a dictionary of correct sample values for different input types.
The rationale behind choosing a correct sample size is to weigh the benefits; one can gain in information against the cost of increasing the sample size.
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This paper introduces a class of scale mixtures of normal selection factor (SMNSF) analysis models which are robust against departures from normality and designed to correct sample-selection bias.
If there is a sample mix-up, the measurements will not correspond to the correct samples.
Correct sampling is a generalization to bulk materials (solids, liquids, gases) of statistical random sampling.
Operators (those taking the samples) may not be properly trained in correct sampling.
The predicted throughfall spatial distribution unveils localized dripping points, which pose a challenge to the correct sampling of throughfall.
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