Danny Pfeffermann
Statistics and Probability · 2002–2016
A researcher in the Science corpus: 11 papers; trusts 25 researchers and is trusted by 50 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 27 citations into it; #1,557 of 12,932 by trust here, #3,177 by citations
- Economics and Econometrics — 9 citations into it; #2,187 of 23,481 by trust here, #8,121 by citations
- Management Science and Operations Research — 9 citations into it; #403 of 11,946 by trust here, #2,310 by citations
- Artificial Intelligence — 6 citations into it
- Sociology and Political Science — 5 citations into it; #4,147 of 22,756 by trust here, #17,766 by citations
Whom Danny Pfeffermann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jiming Jiang
- Partha Lahiri
- Matthew J. Gurka
- J. Rao
- Alan E. Gelfand
- Isabel Molina
- Florin Vaida
- Sanjay Chaudhuri
- Michail Sverchkov
- Peter Hall
Who trusts Danny Pfeffermann overall
- Isabel Molina
- Jiming Jiang
- Balgobin Nandram
- J. Rao
- Gauri Sankar Datta
- Tomás Hobza
- Domingo Morales
- Roderick J. A. Little
- Tony G. Reames
- Kenneth A. Bollen
Papers from Danny Pfeffermann's perspective
Ordered by how strongly the researchers Danny Pfeffermann trusts endorse each paper. Same corpus, a different order for every researcher.
- Mixed model prediction and small area estimation
- Small area estimation
- Bootstrap Approximation to Prediction MSE for State–Space Models with Estimated Parameters
- Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas
- 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
- A UNIFIED MEASURE OF UNCERTAINTY OF ESTIMATED BEST LINEAR UNBIASED PREDICTORS IN SMALL AREA ESTIMATION PROBLEMS
- Small Area Estimation‐New Developments and Directions
- To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
- On parametric bootstrap methods for small area prediction
Their papers
- Small area estimation (2011) — 1,056 citations
- 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
- Bootstrap Approximation to Prediction MSE for State–Space Models with Estimated Parameters (2005) — 87 citations
- Small Area Estimation‐New Developments and Directions (2002) — 326 citations
- Small-Area Estimation With State–Space Models Subject to Benchmark Constraints (2006) — 95 citations
- New important developments in small area estimation (2013) — 437 citations
- Multi-level modelling under informative sampling (2006) — 75 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