Poisson regression models with errors-in-variables: Implication and treatment

Journal of Statistical Planning and Inference

Volumn 104, Issue 2, 2002, Pages 391-401

  Guo, Jie Q ^a   Li, Tong ^a  

^a INDIANA UNIVERSITY   (United States)

Author keywords

Corrected score estimator; Count data; Measurement errors; Overdispersion

Indexed keywords

EID: 0036605050     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-3758(01)00250-6     Document Type: Article

References (13)

1. Econometric models based on count data: Comparisons and applications of some estimators
2. The effect of measurement error
3. Poisson regression models with errors-in-variables: Implication and treatment
4. Econometric models for count data with an application to the patents-R&D relationship
5. Nonlinear errors-in-variables estimation of some engel curves
6. Nonlinear latent variable models
7. Modelling of mortality data from a multi-centre study in Japan by means of poisson regression with error in variables
8. Estimation of linear and nonlinear errors-in-variables models using validation data
9. Estimation of nonlinear errors-in-variables models: A simulated minimum distance estimator
10. Corrected score function for errors-in-variables models: Methodology and application to generalized linear models
11. Unbiased estimation of a nonlinear function of a normal mean with the application to measurement error models