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Nonparametric kernel and regression spline estimation in the presence of measurement error
Maca, J. D.; Carroll, Raymond J.; Ruppert, David - 1997
different methods of estimations are used. The first method is the SIMEX algorithm which attempts to estimate the bias, and …
Persistent link: https://www.econbiz.de/10010310815
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Polynomial regression and estimation function in the presence of multiplication measurement error, with application to nutrition
Iturria, Stephen J.; Carroll, Raymond J.; Firth, David - 1997
In this paper we consider the polynomial regression model in the presence of multiplicative measurement error in the predictor. Consistent parameter estimates and their associated standard errors are derived. Two general methods are considered, with the methods differing in their assumptions...
Persistent link: https://www.econbiz.de/10010310829
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Polynomial regression and estimation function in the presence of multiplication measurement error, with application to nutrition
Iturria, Stephen J.; Carroll, Raymond J.; Firth, David - Sonderforschungsbereich 373, Quantifikation und … - 1997
In this paper we consider the polynomial regression model in the presence of multiplicative measurement error in the predictor. Consistent parameter estimates and their associated standard errors are derived. Two general methods are considered, with the methods differing in their assumptions...
Persistent link: https://www.econbiz.de/10010956460
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Nonparametric kernel and regression spline estimation in the presence of measurement error
Maca, J. D.; Carroll, Raymond J.; Ruppert, David - Sonderforschungsbereich 373, Quantifikation und … - 1997
different methods of estimations are used. The first method is the SIMEX algorithm which attempts to estimate the bias, and …
Persistent link: https://www.econbiz.de/10010956490