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A new technique for handling non-probability samples based on model-assisted kernel weighting

Author

Listed:
  • Cobo, Beatriz
  • Rueda-Sánchez, Jorge Luis
  • Ferri-García, Ramón
  • Rueda, María del Mar

Abstract

Surveys are going through massive changes, and the most important innovation is the use of non-probability samples. Non-probability samples are increasingly used for their low research costs and the speed of the attainment of results, but these surveys are expected to have strong selection bias caused by several mechanisms that can eventually lead to unreliable estimates of the population parameters of interest. Thus, the classical methods of statistical inference do not apply because the probabilities of inclusion in the sample for individual members of the population are not known. Therefore, in the last few decades, new possibilities of inference from non-probability sources have appeared.

Suggested Citation

  • Cobo, Beatriz & Rueda-Sánchez, Jorge Luis & Ferri-García, Ramón & Rueda, María del Mar, 2025. "A new technique for handling non-probability samples based on model-assisted kernel weighting," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 227(C), pages 272-281.
    • Handle: RePEc:eee:matcom:v:227:y:2025:i:c:p:272-281
    DOI: 10.1016/j.matcom.2024.08.009
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