基于消费者视角的服务品牌延伸评估模型的构建

文章在对服务品牌延伸有关研究回顾的基础上,探讨了服务品牌延伸的内涵与维度,着重研究了顾客互动、母品牌体验和相关度对于服务品牌延伸的影响,并基于消费者视角构建了服务品牌延伸的评估模型,为服务品牌延伸研究提供了一种新的理论视角。     

基于图像处理的大蒜蒜种品质无损分级方法研究

针对大蒜蒜种分级过程中蒜种易损坏、机器成本耗费大等问题,提出一种基于图像处理的大蒜蒜种品质无损分级方法。首先对采集到的大蒜蒜种图像进行灰度化、二值化等预处理得到二值化图像。然后在农业工作环境比较恶劣、存在不可避免的噪声情况下,采用形态学处理二值化图像,对图像采用腐蚀算子进行运算,消除噪声,再对图像采用膨胀算子进行运算,得到无噪声的二值化图像。在此基础上通过Canny算子进行有效外轮廓提取并进行旋转矩形拟合,得到最小外接矩形。最小矩形的长和宽比例代替真实蒜种的长宽比作为大蒜蒜种品质筛选的重要依据。实验结果表明,算法可以无损地获取蒜种长和宽的比例,实现大蒜蒜种品质筛选,图像处理过程时间平均为612 ms,满足正常工作实时性要求,在大蒜蒜种品质等级筛选中具有一定的应用价值。     

低幅构造识别技术研究与应用

针对滨里海盆地东缘阿克若尔构造带低幅度构造识别的问题,开发基于反演层速度法和构造趋势面拟合法的低幅构造识别方法。该方法适用于局部发育速度异常体、速度变化快、斜坡区目的层埋藏深度大且圈闭幅度小的情况;优选构造解释层位趋势和单井速度约束下的层速度反演的方法建立研究区速度模型,对地震层位进行标定,该方法克服了常规层速度反演方法横向连续性的限制,对复杂地层具有更好的适应性;构造趋势面拟合法对研究区低幅构造进行了有效识别,克服了因构造幅度低、同相轴平直并且变化幅度小而难以识别的问题,对滨里海东缘深度域构造图进行了构造趋势面拟合,取得了较好的效果。     

分段跟踪识别器的多特征加权指标设计

分段跟踪识别器（STI）解决的是机动目标相邻运动模式切换时刻判定和运动模式参数辨识互相耦合的问题,这种非贝叶斯的方法不需要先验给定目标的运动模型集与模型之间的转移概率。STI在设计性能指标时主要存在以下两个问题：一是仅考虑目标位置与航向角连续性,特征量不完备;二是各连续性指标权重先验给定,缺乏设计准则。为此,提出了STI的多特征加权指标设计方法。首先,引入了速度连续性指标,改善了目标运动模式提取时特征量的完备性;然后,基于各指标的协方差矩阵对其权重分别进行了设计,消除了各指标量纲的影响。仿真结果表明,与STI相比,新提出的方法运行速度快,目标运动模式误切换次数与切换时延明显下降,目标位置与角速度估计精度也有所提升。     

BOUNDING WRONG‐WAY RISK IN CVA CALCULATION

A credit valuation adjustment (CVA) is an adjustment applied to the value of a derivative contract or a portfolio of derivatives to account for counterparty credit risk. Measuring CVA requires combining models of market and credit risk to estimate a counterparty's risk of default together with the market value of exposure to the counterparty at default. Wrong‐way risk refers to the possibility that a counterparty's likelihood of default increases with the market value of the exposure. We develop a method for bounding wrong‐way risk, holding fixed marginal models for market and credit risk and varying the dependence between them. Given simulated paths of the two models, a linear program computes the worst‐case CVA. We analyze properties of the solution and prove convergence of the estimated bound as the number of paths increases. The worst case can be overly pessimistic, so we extend the procedure by constraining the deviation of the joint model from a baseline reference model. Measuring the deviation through relative entropy leads to a tractable convex optimization problem that can be solved through the iterative proportional fitting procedure. Here, too, we prove convergence of the resulting estimate of the penalized worst‐case CVA and the joint distribution that attains it. We consider extensions with additional constraints and illustrate the method with examples.     

深圳市总人口与医疗床位需求预测分析

本文根据2012年深圳市卫生和人口计划生育委员会卫生统计年鉴中深圳市人口数、医疗床位数等数据，针对1979-2012年深圳市人口的发展规律及医疗卫生设施的变化情况，运用Matlab、SPSS等软件对年鉴中深圳市人口数、医疗床位数等数据进行处理分析，建立了灰色模型、线性拟合模型，合理地预测出未来十年深圳市人口数与医疗床位数需求。     

基于累进评分法对田径十项全能评分表的修定

全能评分表对全能运动的训练起着重要的导向作用。国际田联公布的全能评分表，存在计分不累进的问题。采用指数拟合方法对评分表进行了修改，使评分表更加合理，以促进全能运动成绩向更高水平发展。     

NPV和IRR不一致的拟合

本文通过对ＮＰＶ与ＩＲＲ指标不一致原因的分析，在资金不闲置的作用下，很好地解决了ＮＰＶ与ＩＲＲ的不一致性的拟合使其一致。     

机车车辆高价互换配件管理中的几个问题

搞好高价互换配件管理工作,对于维护铁路运输设备的完好状态、合理控制运输成本、保证铁路运输安全具有重要意义。介绍了铁路机车车辆高价互换配件管理的现状,当前管理中存在的突出问题,对今后铁路运输设备高价互换配件的管理工作提出建议。     

Partially varying coefficient instrumental variables models

In this article, we study a new class of semiparametric instrumental variables models, in which the structural function has a partially varying coefficient functional form. Under this specification, the model is linear in the endogenous/exogenous components with unknown constant or functional coefficients. As a result, the ill‐posed inverse problem in a general non‐parametric model with continuous endogenous variables can be avoided. We propose a three‐step estimation procedure for estimating both constant and functional coefficients and establish their asymptotic properties such as consistency and asymptotic normality. We develop consistent estimators for their error variances. We demonstrate that the constant coefficient estimators achieve the optimal ‐convergence rate, and the functional coefficient estimators are oracle. In addition, efficiency issue of the parameter estimation is discussed and a simple efficient estimator is proposed. The proposed procedure is illustrated via a Monte Carlo simulation and an application to returns to education.