Sharp bounds under contaminated or corrupted sampling with verification, with an application to environmental pollutant data

Journal of Agricultural, Biological, and Environmental Statistics

Volumn 9, Issue 3, 2004, Pages 319-338

  Dominitz, Jeff ^a   Sherman, Robert P ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Gas chromatography mass spectroscopy; Mixture models

Indexed keywords

ESTIMATION METHOD; POLLUTANT;

EID: 33646017144     PISSN: 10857117     EISSN: None     Source Type: Journal    
DOI: 10.1198/108571104X3389     Document Type: Article

References (6)

1. Dominitz, J., and Sherman, R. P. (2004), "Nonparametric Analysis of Mixture Models with Verification with an Application to Test Score Data," working paper, California Institute of Technology.
2. Horowitz, J., and Manski, C. (1995), "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, 63, 281-302.
3. Horowitz, J., and Manski, C. (2000), "Nonparametric Analysis of Randomized Experiments with Missing Covariate and Outcome Data", Journal of the American Statistical Association, 95, 77-84.
4. Lambert, D., and Tierney, L. (1997), "Nonparametric Maximum Likelihood Estimation from Samples with Irrelevant Data and Verification Bias," Journal of the American Statistical Association, 92, 937-944.
5. Pollard, D. (1991), "Asymptotics for Least Absolute Deviations Regression Estimators," Econometric Theory, 7, 186-199.
6. Sherman, R. P. (2003), "Some Asymptotic Results for Bounds Estimation," working paper, California Institute of Technology.