Empirical simulation extrapolation for measurement error models with replicate measurements

By V. Devanarayan, Leonard A. Stefanski. 2002

70 citations recorded by the source corpus.

Subfields: Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/31ed03fcc9f7457757bd6701ddd0a314c6f47a15

How researchers see this paper

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

In Environmental Engineering

1. Aurore Delaigle
2. Daniel F McCaffrey
3. A. Meister
4. J. R. Lockwood
5. Kengo Kato
6. H. Muller

In Statistics and Probability

1. A. Meister
2. Aurore Delaigle
3. J. R. Lockwood
4. Daniel F McCaffrey
5. Peter Hall
6. H. Muller
7. Fabienne Comte
8. Antonio Cuevas

Citations in the corpus

• Correcting for Test Score Measurement Error in ANCOVA Models for Estimating Treatment Effects (2014, methodology): “SIMEX methods that yield consistent estimates from data with heteroscedastic errors generally require either known error variances for each case or replicate measurements (Carroll et al., 2006; Devanarayan & Stefanski, 2002) and thus do not generally apply to our case where CSEM(y) is unknown.”
• Nonparametric Regression Estimation in the Heteroscedastic Errors-in-Variables Problem (2007, methodology): “There exist parametric estimators that can be applied in the context of heteroscedastic errors (see, e.g., Devanarayana and Stefanski 2002; Cheng and Riu 2006).”