Michail Sverchkov
2003–2016
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Whom Michail Sverchkov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michail Sverchkov overall
- Jean-Francois Beaumont
- Danny Pfeffermann
- Kenneth A. Bollen
- P. Biemer
- Balgobin Nandram
- Terrance D. Savitsky
- Alan F. Karr
- Stephen J Tueller
- Daniell Toth
Papers from Michail Sverchkov's perspective
Ordered by how strongly the researchers Michail Sverchkov trusts endorse each paper. Same corpus, a different order for every researcher.
- On parametric bootstrap methods for small area prediction
- Multi-level modelling under informative sampling
- Prediction of finite population totals based on the sample distribution
- A pseudo‐empirical best linear unbiased prediction approach to small area estimation using survey weights
- Empirical Best Prediction for Small Area Inference with Binary Data
- Fence methods for mixed model selection
- On measures of uncertainty of empirical Bayes small-area estimators
- A UNIFIED MEASURE OF UNCERTAINTY OF ESTIMATED BEST LINEAR UNBIASED PREDICTORS IN SMALL AREA ESTIMATION PROBLEMS
- Empirical Bayes estimation smoothing of relative risks in disease mapping
- Empirical best prediction for small-area inference based on generalized linear mixed models
Their papers
- Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas (2007) — 123 citations
- Inference under informative sampling (2009) — 90 citations
- Fitting Generalized Linear Models under Informative Sampling (2003) — 57 citations
- PARAMETRIC AND SEMI-PARAMETRIC ESTIMATION OF REGRESSION MODELS FITTED TO SURVEY DATA* (2016) — 96 citations
- Prediction of finite population totals based on the sample distribution (2004) — 67 citations