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1. A small sample estimator for a polynomial regression with errors in the variables


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2. Different Nonlinear Regression Models with Incorrectly Observed Covariates

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3. Extreme value analysis of Munich air pollution data

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4. Fitting a Finite Mixture Distribution to a Variable Subject to Heteroscedastic Measurement Error

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5. Modelling Count Data with Heteroscedastic Measurement Error in the Covariates

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6. Fitting a Finite Mixture Distribution to a Variable Subject to Heteroscedastic Measurement Error

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7. Fitting a Finite Mixture Distribution to a Variable Subject to Heteroscedastic Measurement Error


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8. Modelling Count Data with Heteroscedastic Measurement Error in the Covariates


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9. Different Nonlinear Regression Models with Incorrectly Observed Covariates


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10. Extreme value analysis of Munich airpollution data


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