Bias reduction in the population size estimation of large data sets
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Summary
Four new population size estimators are proposed, as extensions of existing methods, and their performances are compared in terms of bias with two existing methods in the big data literature, showing more variability than existing estimators in the literature.
- Type
- article
- Published
- 2020-05-01
- Cited by
- 0
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W2998849822
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:212679919
Keywords
Estimator, Sample size determination, Computer science, Context (archaeology), Estimation
References
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- THE MULTIPLE-RECAPTURE CENSUS I. ESTIMATION OF A CLOSED POPULATION
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- A momentum calculation for charged tracks with minute curvature
- A NOTE ON THE MULTIPLE-RECAPTURE CENSUS.
- Computational Earth Science: Big Data Transformed Into Insight
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- THE ESTIMATION OF BIOLOGICAL POPULATIONS
- A Complete Class Theorem for the Control Problem and Further Results on Admissibility and Inadmissibility
- Statistical analysis of financial networks
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