Sampling Techniques for Big Data Analysis
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Publication:6090536
DOI10.1111/INSR.12290arXiv1801.09728MaRDI QIDQ6090536
Publication date: 17 November 2023
Published in: International Statistical Review (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1801.09728
Parametric inference (62Fxx) Applications of statistics (62Pxx) Statistical sampling theory and related topics (62Dxx)
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Pretest estimation in combining probability and non-probability samples ⋮ A dual-frame approach for estimation with respondent-driven samples
Cites Work
- Unnamed Item
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- Parametric fractional imputation for missing data analysis
- Two-phase sampling experiment for propensity score estimation in self-selected samples
- Model assisted survey sampling
- Statistical paradises and paradoxes in big data. I: Law of large populations, big data paradox, and the 2016 US presidential election
- A measurement error model approach to survey data integration: combining information from two surveys
- Inference for nonprobability samples
- Sampling algorithms.
- Small Area Estimation
- The Role of Sampling Weights When Modeling Survey Data
- Computer Age Statistical Inference
- Combining data from two independent surveys: a model-assisted approach
- Sampling Statistics
- Using calibration weighting to adjust for nonresponse under a plausible model
- Importance Sampling Via the Estimated Sampler
- Inference and missing data
- Optimise importance sampling quantile estimation
- A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
- Variance estimation under two-phase sampling with application to imputation for missing data
- OUP accepted manuscript
- Doubly robust inference with missing data in survey sampling
- Replication Variance Estimation for Two-Phase Stratified Sampling
- A Generalization of Sampling Without Replacement From a Finite Universe
- Big Data, Official Statistics and Some Initiatives by the Australian Bureau of Statistics
- Statistical Inference, Learning and Models in Big Data
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