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Titlebook: Exploring Research Frontiers in Contemporary Statistics and Econometrics; A Festschrift for Lé Ingrid Van Keilegom,Paul W. Wilson Book 2012

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Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator,ters can achieve root-. consistency. The requirement of under-smoothing may result, as we show, from inefficient estimation methods or technical difficulties. Xia et al. (J. Roy. Statist. Soc. B. 64:363–410, 2002) proposed an adaptive method for the multiple-index model, called MAVE. In this chapter
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Mechanics of Composite Materialsals its specific merits and strengths. We discuss nonparametric estimation of the extremile-based costs frontiers and establish asymptotic normality and weak convergence of the associated process. Empirical illustrations are provided.
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Estimating Frontier Cost Models Using Extremiles,als its specific merits and strengths. We discuss nonparametric estimation of the extremile-based costs frontiers and establish asymptotic normality and weak convergence of the associated process. Empirical illustrations are provided.
发表于 2025-3-24 07:56:04 | 显示全部楼层
Optimal Smoothing for a Computationally and Statistically Efficient Single Index Estimator,semi-parametric sense. Moreover, we derive higher-order expansions for our estimator and use them to define an optimal bandwidth for the purposes of index estimation. As a result we obtain a practically more relevant method and we show its superior performance in a variety of applications.
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