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Understanding the Evidence: Non-Probability (Non-Random) Sampling Designs
Urologic Nursing, 2023openaire +1 more source
Inference from Non-probability Samples: An Uncertainty Based
A major concern with the use of non-probability samples is their non-representativeness, which if not accounted properly, may led to large bias in the inference process. The question arising therefore is how to draw inference from such samples, regarding the population that they are believed to represent.openaire +1 more source
Comparing water quality valuation across probability and non-probability samples
2022openaire +1 more source
Functional Calibration Under Non-Probability Survey Sampling
Zhonglei Wang +3 moreopenaire +1 more source
A Study of Non-probability Sampling Methodology in Sample Surveys
Survey Research, 2017openaire +1 more source
Superpopulation model inference for non-probability samples under informative sampling
Communications in Statistics - Simulation and ComputationZhan Liu, Dianni Wang, Yingli Pan
openaire +1 more source