Impact of the Bootstrap on Sample Surveys
By Jun Shao. 2003
81 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/00f59b6af78ec4f5e2beea7f4f8f005a735a263f
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
- Alan H. Welsh
- Miriam Faust
- C. Field
- Roger E. Beaty
- Paul J Silvia
- David Anaki
- Yoed N. Kenett
- Samuel Müller
Citations in the corpus
- Bootstrap Methods in Econometrics (2006, unknown): “Some interesting ones that potentially have econometric applications are discussed in Davison, Hinkley, and Young (2003), Hu and Kalbfleisch (2000), Lahiri (2003), Lele (2003), and Shao (2003) .”
- Bootstrapping clustered data (2007, methodology): “…problem of bootstrapping clustered data was first discussed in the design-based finite population survey literature by Gross (1980), McCarthy and Snowden (1985), Rao and Wu (1988), Sitter (1992) and others; see Canty and Davison (1999) for a recent application and Shao (2003) for a recent review.”
- Recent Developments in Bootstrap Methodology (2003, unknown): “It seems possible that bootstrap methods for sample surveys, where dependence is not less real for being induced by the sampling plan, can be adapted to this setting; see the articles by Lahiri (2003) and Shao (2003) in this issue.”
- Structure and flexibility: Investigating the relation between the structure of the mental lexicon, fluid intelligence, and creative achievement. (2016, methodology): “To statistically analyze our findings, we used the without replacement bootstrap method (Bertail, 1997; Efron, 1979; Politis & Romano, 1994; Shao, 2003) to simulate and compare random partial lexical networks (Kenett et al.”