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Estimation in semiparametric models with missing data
Copulas imputation kernel smoothing missing at random nuisance function partially linear model
2016/1/20
This paper considers the problem of parameter estimation in a general class of semiparametric models when observations are subject to missingness at random.The semiparametric models allow for estimati...
ON THE SMALLEST POSSIBLE ASYMPTOTICALLY EFFICIENT VARIANCE IN SEMIPARAMETRIC MODELS
Semiparametric models the smallest poss
2007/8/7
In this paper, the author gives a sufficient and necessary condition under which is the smallest possible asymptotic variance for regular estimators of β given by Schick (1986), and gives an example t...