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Large sample theory of the estimation of the error distribution for a semiparametric model
Liang, Hua; Härdle, Wolfgang - Sonderforschungsbereich 373, Quantifikation und … - 1997
Persistent link: https://www.econbiz.de/10010983459
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Asymptotic normality of parametric part in partial linear heteroscedastic regression models
Liang, Hua; Härdle, Wolfgang - Sonderforschungsbereich 373, Quantifikation und … - 1997
Persistent link: https://www.econbiz.de/10010983512
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Asymptotic properties of the nonparametric part in partial linear heteroscedastic regression models
Liang, Hua; Härdle, Wolfgang; Werwatz, Axel - Sonderforschungsbereich 373, Quantifikation und … - 1997
Persistent link: https://www.econbiz.de/10010983516
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Bootstrap approximations in a partially linear regression model
Härdle, Wolfgang; Liang, Hua; Sommerfeld, Volker - Sonderforschungsbereich 373, Quantifikation und … - 1997
Persistent link: https://www.econbiz.de/10010983591
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Large sample theory in a semiparametric partially linear errors-in-variables models
Liang, Hua; Härdle, Wolfgang; Carroll, Raymond J. - Sonderforschungsbereich 373, Quantifikation und … - 1997
We consider the partially linear model relating a response Y to predictors (X,T) with mean function XT ß + g (T) when the X's are measured with additive error. The semiparametric likelihood estimate of Severini and Staniswalis (1994) leads to biased estimates of both the parameter ß and the...
Persistent link: https://www.econbiz.de/10010983828
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Asymptotic properties of the nonparametric part in partial linear heteroscedastic regression models
Liang, Hua; Härdle, Wolfgang; Werwatz, Axel - 1997
Persistent link: https://www.econbiz.de/10010310766
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Asymptotic normality of parametric part in partial linear heteroscedastic regression models
Liang, Hua; Härdle, Wolfgang - 1997
Persistent link: https://www.econbiz.de/10010310768
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Large sample theory in a semiparametric partially linear errors-in-variables models
Liang, Hua; Härdle, Wolfgang; Carroll, Raymond J. - 1997
We consider the partially linear model relating a response Y to predictors (X,T) with mean function XT ß + g (T) when the X's are measured with additive error. The semiparametric likelihood estimate of Severini and Staniswalis (1994) leads to biased estimates of both the parameter ß and the...
Persistent link: https://www.econbiz.de/10010310770
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Bootstrap approximations in a partially linear regression model
Härdle, Wolfgang; Liang, Hua; Sommerfeld, Volker - 1997
Persistent link: https://www.econbiz.de/10010310785
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Large sample theory of the estimation of the error distribution for a semiparametric model
Liang, Hua; Härdle, Wolfgang - 1997
Persistent link: https://www.econbiz.de/10010310818