The na\"ive estimator of a Poisson regression model with measurement errors
@inproceedings{Wada2022TheNE, title={The na\"ive estimator of a Poisson regression model with measurement errors}, author={Kentarou Wada and Takeshi Kurosawa}, year={2022} }
We generalize the na¨ıve estimator of a Poisson regression model with measurement errors as discussed in Kukush et al. [1]. The explanatory variable is not always normally distributed as they assume. In this study, we assume that the explanatory variable and measurement error are not limited to a normal distribution. We clarify the requirements for the existence of the na¨ıve estimator and derive its asymptotic bias and asymptotic mean squared error (MSE). In addition, we propose a consistent…
References
SHOWING 1-10 OF 10 REFERENCES
Three estimators for the poisson regression model with measurement errors
- Mathematics
- 2004
We consider two consistent estimators for the parameters of the linear predictor in the Poisson regression model, where the covariate is measured with errors. The measurement errors are assumed to be…
A Comparison of Asymptotic Covariance Matrices of Adjusted Least Squares and Structural Least Squares in Error Ridden Polynomial Regression
- Mathematics
- 2000
A polynomial structural errors-in-variables model with normal underlying distributions is investigated. An asymptotic covariance matrix of the SLS estimator is computed, including the correcting…
Corrected score function for errors-in-variables models : Methodology and application to generalized linear models
- Mathematics
- 1990
SUMMARY Statistical models whose independent variables are subject to measurement errors are often referred to as 'errors-in-variables models'. To correct for the effects of measurement error on…
On Errors-in-Variables in Binary Regression—Berkson Case
- Mathematics
- 1988
Abstract In binary regression, the predictor variables may be measured with error. The Berkson case of the errors-in-variables problem is considered, under which the values of the predictor variables…
ON ERRORS-IN-VARIABLES IN POLYNOMIAL REGRESSION- BERKSON CASE
- Mathematics
- 2003
A nonlinear Berkson model, particularly the polynomial Berkson model, is considered in this work. It is shown that without making any identifiability assumptions, all coefficient parameters in this…
The Effects of Errors in the Factor Levels and Experimental Design
- Mathematics
- 1963
For the case of one variable Berkson has shown that a standard statistical analysis can be justified even when the levels of the independent variable x are subject to error provided that the response…
Non-Linear Functional Relationship Between Two Variables When One Variable is Controlled
- Mathematics
- 1953
Abstract Joseph Berkson has indicated that when the error of one of two variates is “controlled” in a sense which he defines, and when the true relation between the variates is linear, the classical…
A comparison of asymptotic covariance matrices of three consistent estimators in the Poisson regression model with measurement errors
- Mathematics
- 2005
Poisson regression with error corrupted high dimensional features
- Statistica Sinica