Measurement Error Models
By Leonard A. Stefanski. 2000
241 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Health, Toxicology and Mutagenesis, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/63863c23e9fb8de7f4f1473f8e2b2caba799bd05
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Yasuo Amemiya
- Eugene Demidenko
- Tor D. Tosteson
- Dylan S. Small
- William F. Christensen
- Yongyun Shin
- John P. Buonaccorsi
- Stephen Raudenbush
In Health, Toxicology and Mutagenesis
- Yasuo Amemiya
- Eugene Demidenko
- Tor D. Tosteson
- Dylan S. Small
- William F. Christensen
- Yongyun Shin
- John P. Buonaccorsi
- Stephen Raudenbush
In Statistics and Probability
- Yasuo Amemiya
- Eugene Demidenko
- Tor D. Tosteson
- Dylan S. Small
- William F. Christensen
- Yongyun Shin
- John P. Buonaccorsi
- Stephen Raudenbush
Citations in the corpus
- Statistical demography and forecasting (2005, unknown): “DuMouchel and Duncan (1983) and Fuller (1984) describe hypothesis tests for linear models.”
- Estimation in longitudinal random effects models with measurement error (2000, methodology): “Fuller (1987) and Carroll, Stefanski and Ruppert (1995) provide a comprehensive treatment of measurement error in standard linear and nonlinear regression models, where the main objective is inferences for the regression coefficients.”
- The effects of conditional cash transfer programmes on adult labour supply: an empirical analysis using a time-series-cross-section sample of brazilian municipalities (2010, unknown): “See also Fuller (1987) for a general approach to measurement error models.”
- A Latent Cluster-Mean Approach to the Contextual Effects Model With Missing Data (2010, background): “Cj as a fallible measure of \icj (Fuller, 1987).”
- Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions (2007, background): “We provide conclusions and discussion in Section 7.”
- Latent Variable Analysis of Multivariate Spatial Data (2002, background): “A.1 of Fuller (1987) to show that V6è4È57 D var8vecuSun9 D 2 N ƒ 1 ŠCu 6è4È5 † è4È57Š C0 u 0 (17) Thus our iteratively reweighted pseudo-independent pseudonormal estimation procedure obtains the jth step estimate by minimizing (13) with bæ D 4V6è4 OÈ6jƒ17575ƒ1.”