Sentence examples for sample selection approach from inspiring English sources
Exploiting these differences in natural pre-conditions, we follow Foudi and Erdlenbruch (2012) applying a sample selection approach to study the risk-decreasing properties of irrigation under joint estimation of production and production risk.
This sample selection approach has a potential risk of endogenous sample selection; non-co-residence sons during certain birth years are out of the sample and the way they moved out is endogenous.
A baseline approach using all the training data from the source is constructed, along with a sample selection approach (only using the first step defined above), a feature ensemble approach (only using the second step defined above) and the complete approach outlined above.
Different study design strategies that make use of diverse technologies, imputation and sample selection approaches are an active target of development and evaluation efforts.
The protocol outlines the justification for using utility values in LMICs, selection of EQ-5D-3L and EORTC-8D health states, the TTO exercise, sample size calculation, sample selection and approach to face to face interview of participants.
The aim of this work is to propose a sample size selection approach based on quality risk management principles for process performance qualification (PPQ) and continued process verification (CPV) stages by linking UDU to potential formulation and process risk factors.
Both study series differed in methods of sample selection and approaches to examiner training.
The complete approach is the best performing, followed by sample selection and feature ensemble approaches, and the baseline approach.
Inspired by the visual saliency detection approach, we propose a visual saliency detection-based sample selection unifying with online boosting approach for robust object tracking.
The sample selection and feature ensemble approaches perform equally as well in head-to-head tests.
Our approach is akin to balancing considerations in two-stage sampling methodology (e.g., Reilly 1996), but the simulation approach to sample selection allows much more complex stratification.
