canvass
发表于 2025-3-26 21:08:54
Explaining Efficiency in Nonparametric Frontier Models: Recent Developments in Statistical InferencRecently, Bădin et al. (Eur. J. Oper. Res. 201(2):633–640, 2010) proposed a data driven procedure for selecting the optimal bandwidth based on a general result obtained by Hall et al. (J. Am. Stat. Assoc. 99(486):1015–1026, 2004) for estimating conditional probability densities. The method employs l
concubine
发表于 2025-3-27 01:16:57
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过于光泽
发表于 2025-3-27 06:09:36
Exploring Research Frontiers in Contemporary Statistics and EconometricsA Festschrift for Lé
要素
发表于 2025-3-27 10:45:43
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愚笨
发表于 2025-3-27 16:46:33
Hyunjung Shin,Kaitlyn Robertsonhed estimator of the full frontier outperforms frankly the sample estimator in terms of both bias and Mean-Squared Error, under optimal bandwidth. In this domain of attraction, Nadaraya’s estimates of extreme quantiles might be superior to the sample versions in terms of MSE although they have a hig
流逝
发表于 2025-3-27 21:11:29
Strategies for the Delivery of Medical Carehe new estimator. A numerical procedure allowing computation of the original estimator is provided, and this estimator is also shown to be consistent, with the same rate of convergence as the new estimator. In addition, an unconditional, hyperbolic order-. efficiency estimator is developed by extend
Wallow
发表于 2025-3-28 00:39:00
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mechanical
发表于 2025-3-28 04:05:57
https://doi.org/10.1007/978-3-319-43592-3ple size. That is, the skewness problem is a finite sample one and it often arises in finite samples from a data generating process based on the correct skewness. Thus the researcher should first attempt to increase the sample size instead of changing the model specification if she finds the “wrong”
CRACY
发表于 2025-3-28 07:59:14
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小卒
发表于 2025-3-28 11:45:31
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