Multi-level modelling under informative sampling

By Danny Pfeffermann, Fernando A. S. Moura, P. N. Silva. 2006

75 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ab327428f55a40ae9bd1fc173d15c404f73b422d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Daniell Toth
2. Terrance D. Savitsky
3. Danny Pfeffermann
4. Michail Sverchkov
5. R. Tiller
6. Gauri Sankar Datta
7. Malay Ghosh
8. Partha Lahiri

Citations in the corpus

• Bayesian Estimation Under Informative Sampling (2015, methodology): “Perhaps the most general Bayesian approach constructs models to co-estimate parameters for conditional expectations of inclusion probabilities jointly with the population-generating model parameters at each level of a hierarchical construction (Pfeffermann et al. 2006).”
• Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas (2007, background): “(See Pfeffermann et al. 2006 for examples of modeling the area selection probabilities.)”