Sentence examples for sample selection problem from inspiring English sources

As we noted earlier, the sample selection problem does not possess the property of optimal substructure.

This motivates us to use an endogenous switching regression model that takes care of both endogeneity and sample selection problem (Asfaw et al. 2012; Di Falco et al. 2011; Freeman et al. 2001).

For the benefit of the reader, we briefly review the key ideas underlying genetic algorithms next, and then follow up by a specific implementation engineered by us for the sample selection problem at hand.

Even though response rates of the CJS are very close to response rates of other UK population surveys, such as the LFS or the BCS (see, Sharp and Budd 2005), there is also a potential sample selection problem, since it is likely that people who refused participation in CJS are likely to be more prone to crime than participants.

Although the OLS estimates suggested negative coefficients for CPI, the CPI coefficient could be negatively biased in the OLS regression because of the sample selection problem as stated in Section 4. Indeed, if the FE method is employed, the effect of CPI on bonuses became significantly positive.

We have already noted that if the optimal solution to the sample selection problem was to be guaranteed it would be necessary to evaluate the fitness of every possible sample subset of the desired size, which is in general unfeasible in practice.

Second, as I will highlight in Sect. 4 the inclusion of additional variables would seriously reduce the sample and increase the risk of sample selection problems.

This is a particular feature in developing countries and zones characterized by abundance of precipitation.2 We argue that the latter may give rise to potential sample selection problems in irrigation choices, which needs to be considered when analyzing the association between production risk and farm technology adoption.

Statistically speaking, there may be a sample-selection problem.

Tests for systematically missing genotypes in either cases or controls were performed to identify sample selection or genotyping problems preferentially affecting either group.

This sample selection scheme has a problem that is against the design principal of boosting, where the hardest samples should be selected for subsequent learning.