"sample selection method" is correct and can be used in written English.
You can use it when you are describing the process of selecting a subset of a population in order to study it. For example: "The researchers used a stratified random sampling selection method to ensure a fair representation of the population in their study."
The next step is to apply a clustering based sample selection method to select related instances as new training data, which resolves the marginal distribution differences in the latent input space.
To handle the case of different data distributions, this method extends the approach from the author's previous work [53] and utilizes a clustering based sample selection method on the latent subspace as to select source data that is most similar to the target data.
We adopt the Heckman two-stage sample selection method as a robustness check to control the potential self-selection bias (Heckman 1979).
Therefore, a new training sample selection method is introduced in this paper to include more "difficult" samples in subsequent boosting steps to get better boosting results.
Our results are robust after using the propensity score matching procedure, Heckman two-stage sample selection method, alternative measure of CSR, and alternative definition of returnee managers.
The sample selection method based on NIR spectral data proposed by Puchwein and the CADEX (computer aided design of experiments) algorithm were used and compared.
Fig. 2 Comparative performance of different sample selection methods on information loss.
Specifically, we proposed sample selection methods using (i) repeated random draws, (ii) a genetic algorithm, and (iii) pair-wise sample compatibilities.
The same relative performances of different sample selection methods we observed in the first set of experiments were maintained when the experiment was extended to a simulation of an entire adaptive trial.
Information extracted from studies included: age of participants, gender distribution, source population and description of sample selection methods.
However, when interpreting these data the different sample selection methods in Belgium and Australia should be kept in mind.
