Semiparametric model

Known as: Semi-parametric model, Seminonparametric, Semiparametric 
In statistics, a semiparametric model is a statistical model that has parametric and nonparametric components. A statistical model is a collection of… (More)
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Highly Cited
2007
Highly Cited
2007
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
2006
Highly Cited
2006
A class of semiparametric fractional autoregressive GARCH models (SEMIFARGARCH), which includes deterministic trends, difference… (More)
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Highly Cited
2005
Highly Cited
2005
We propose a semiparametric model for regression problems involving multiple response variables. The model makes use of a set of… (More)
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Highly Cited
2004
Highly Cited
2004
Semiparametric regression models are very useful for longitudinal data analysis. The complexity of semiparametric models and the… (More)
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Highly Cited
2001
Highly Cited
2001
This paper develops and implements semiparametric methods for estimating binary response (binary choice) models with continuous… (More)
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Highly Cited
2000
Highly Cited
2000
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Highly Cited
2000
Highly Cited
2000
This paper considers the nonparametric and semiparametric methods for estimating regression models with continuous endogenous… (More)
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Highly Cited
1999
Highly Cited
1999
Consider a study whose design calls for the study subjects to be followed from enrollment (time t = 0) to time t = T , at which… (More)
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Highly Cited
1997
Highly Cited
1997
The semiparametric statistical model is used to formulate the problem of blind source separation. The method of estimating… (More)
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Highly Cited
1993
Highly Cited
1993
ing from scaling considerations (see (C8.b)), (B2) AYJ=AN [I yv(vj; 0, hNp)], where AN is a function that depends on g a pilot or… (More)
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