Education returns of wage earners and self-employed workers: Rejoinder

In their reply to our comment, García-Mainar and Montuenga-Gómez [García-Mainar, I., & Montuenga-Gómez, V. M. (2009). A response to the comment on education returns of wage earners and self-employed workers. Economics of Education Review] did not address our fundamental criticism that they have not provided the information necessary to replicate their study.     

基于扩展卡尔曼滤波器的网络队列预测

为解决网络队列动态预测问题,提出一个网络系统在泊松分布流量和指数服务时间下的暂态队列行为预测模型并进行仿真验证。阐述基于扩展卡尔曼滤波（Kalman）的预测模型及其具体算法,结合网络中的数据流量特性,构建基于扩展卡尔曼滤波器的网络暂态队列预测模型,并根据仿真网络中的实际数据对模型进行验证。实验结果表明,所建立的网络暂态队列实时预测模型预测效果比较理想,基本与实时队列长度保持一致。因此,该模型可以较低的代价应用于网络中的动态路由算法及拥塞控制算法中。     

带有不完全椭球约束的多元线性模型中参数的线性容许估计

本文讨论了多元线性模型在椭球约束 : ′N ≤σ2 Im ,N≥ 0参数的线性估计的可容许性。在二次损失下 ,刻划了可容许线性估计的特征     

Contingent Valuation and Semiparametric Methods: A Case Study of the National Museum of Sculpture in Valladolid, Spain

Research on cultural economics is very interested in the economic valuation of non-market goods, particularly in the field ofcultural heritage where contingent valuation techniques are currently being used with both parametric and non-parametric statistical methods to estimate the willingness to pay for cultural goods. In the literature analysed, the number of studies using semiparametric methods, however, is very limited. Our analysis is intended to help fill this gap by offering a parametric, non-parametric and semiparametric economic valuation of the National Museum of Sculpture (Museo Nacional de Escultura), located in Valladolid,Spain. In addition, we also gain insight on a controversial issue affecting most European museums, particularly those located in Latin countries: the role voluntary donations might play in the funding of public museums.     

相依样本的密度函数及其导数核估计的一致强相合和均方相合的收敛速度

设样本点x_1,…,x_n为相依的,在适当条件下给出了密度函数及其导数核估的一致强相合和一致均方相合的收敛速度。分别获得及当取h=n 时r>p.这也是对[1][2]的一个改进。     

用纹理分析方法作肝脏检查

采用共生矩阵分析B超肝脏图橡钓改狸结构,从中找出有关的特征参数,作为医生区分肝脏有否病患的依据。     

一般岭估计与BLUE的一个新的相对效率

考虑了Gauss—Markov模型中未知参数向量p的最佳线性无偏估计的改进问题,对一般岭估计与BLUE进行了比较,给出了一般岭估计与BLUE的一种新的相对效率e,并导出了e的下界．     

非参数回归函数估计的渐近正态性

研究了独立或相依样本时非参数回归函数的Nadaraya-Watson估计，在简洁合理的条件下，证明了估计量的渐近正态性，获得的结论可在时间序列分析中得到应用．