小费
发表于 2025-3-21 17:41:09
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辩论
发表于 2025-3-21 23:58:55
Production Efficiency versus Ownership: The Case of China,stries and across different regions (coastal, central and western). We do so by performing a bootstrap-based analysis of group efficiencies (weighted and non-weighted), estimating and comparing densities of efficiency distributions, and conducting a bootstrapped truncated regression analysis. We fin
Estrogen
发表于 2025-3-22 03:15:57
Nonparametric Frontier Estimation from Noisy Data,r. The measurement error is assumed to be an additive normal random variable on the input variable, but its variance is unknown. The estimator is a modification of the .-frontier, which necessitates the computation of a consistent estimator of the conditional survival function of the input variable
bibliophile
发表于 2025-3-22 04:56:50
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Evacuate
发表于 2025-3-22 09:58:18
Panel Data, Factor Models, and the Solow Residual,l production literature and in the complementary literature on productive efficiency. We point out why panel data are needed to measure productive efficiency and innovation and thus link the two strands of literatures. We provide a discussion on the various estimators used in the two literatures, fo
follicular-unit
发表于 2025-3-22 16:40:42
Asymptotic Properties of Some Non-Parametric Hyperbolic Efficiency Estimators,on, 1985) wherein efficiency is measured by the simultaneous maximum, feasible reduction in input quantities and increase in output quantities. In cases where returns to scale are not constant, the non-parametric data envelopment analysis (DEA) estimator of hyperbolic efficiency cannot be written as
follicular-unit
发表于 2025-3-22 19:33:02
Explaining Efficiency in Nonparametric Frontier Models: Recent Developments in Statistical Inferenccision making units. The conditional efficiency measures that have been introduced in recent years (Daraio and Simar, J. Prod. Anal. 24:93–121, 2005) represent an attractive alternative to two-step approaches, to handle external environmental factors, avoiding additional assumptions such as the sepa
Indurate
发表于 2025-3-22 23:00:22
Estimation of a General Parametric Location in Censored Regression,nsoring, whereas . is completely observed. Let .(.) be a conditional location function of . given . = .. In this paper we assume that .( ⋅) belongs to some parametric class . and we propose a new method for estimating the true unknown value θ.. The method is based on nonparametric imputation for the
厌恶
发表于 2025-3-23 02:46:13
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jungle
发表于 2025-3-23 08:50:35
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