求职技巧的训练和指导

从当前的就业形势和提高求职者求职成功率两个方面论述了对求职者进行求职技巧训练和指导的必要性,阐述了进行求职技巧训练和指导的原则,并就怎样对求职者进行求职技巧训练和指导进行了介绍。     

浅谈智能充电器

设计了基于单片机的智能充电器,介绍了其硬件和软件实现。该充电器可以实时采集和计算电池的参数,并进行智能控制,还可以通过串口和上位机进行通讯并进行实时。     

浅谈公路监理工程施工现场管理

本文通过对公路现场施工的特点进行详细阐述,对如何有效的进行施工现场的管理、将各项施工要素进行科学的结合以及和合理的安排、对施工的时间以及空间进行科学的规划和组织等进行深刻的分析和探讨,并针对性的提出了对公路的现场施工进行监理和管理的有效措施,以供参考。     

露天开采安全评价技术的探讨

安全是所有生产活动的生命线,对进行生产活动的企业进行安全评估是十分有必要的。文章将对安全评价的目的、原则、依据和评价程序进行介绍,并以实例进行定量和定性分析,得出结论和安全对策措施,为该企业安全生产保驾护航,同时为类似项目提供参考。     

浅谈企业进行税收筹划的主要策略和方法

本文从企业进行税收筹划的必要性、可行性入手,对企业进行税收筹划的策略和方法及进行税收筹划应遵循的原则等问题进行探讨,同时对企业该怎样进行税收筹划方面提出了自己的意见和看法。     

SAP内部订单在工程建设项目财务管理中的应用

SAP的内部订单是用于计划、收集、监视和结算在公司内部进行的特定操作或任务,利用内部订单的这些特点,可以归集工程建设项目的明细支出,进行概算的控制和对比分析,以及利用内部订单的报表进行工程建设项目的不同维度的统计和分析,以帮助企业的管理者对进行项目进行监督考核和做出正确的决策.     

互动式手机多媒体广告的优势和应用模式分析

本篇文章主要是对多媒体技术在主打手机广告时候的现状和特点进行全方位分析,进行对广告发展的现状进行研究和在多媒体技术特点的基础上,对现今互动式多媒体技术在手机广告上的应用现状,及互动式广告的特点和多样化的模式进行详细的研究。     

基于WEB的远程教学管理软件设计

本文基于WEB的远程教学管理软件,对其具体结构和内容进行了分析,同时对远程教学管理软件的开发和设计进行了探讨,以促使远程教学管理软件的实现,并对网站的总体架构以及软件模块结构进行设计和研究。     

人才政策研究综述

本文对人才政策相关的文献进行回顾和总结,对已有人才政策研究进行梳理,就人才培养和使用机制、吸引和留住人才的政策进行综述和分析,以期为当前我国人才培养、吸引和使用政策的制定提供参考信息和依据。     

个性化服务能力测评

对个性化服务能力的概念进行界定,并借鉴GAP差距模型,对个性化服务能力测评思路和测评指标进行了系统分析和梳理,形成了7大类22个具体指标;并通过主成分分析法和熵值法相结合的方法,对个性化服务能力进行测评,对具体的侧评步骤进行了说明;并以LJ烟草公司与中国邮政的物流服务供应链为例进行了说明.     

The Cox,Ross and Rubinstein tree model which includes counterparty credit risk and funding costs

The binomial asset pricing model of Cox, Ross and Rubinstein (CRR) is extensively used for the valuation of options. The CRR model is a discrete analog of the Black–Scholes–Merton (BSM) model. The 2008 credit crisis exposed the shortcomings of the oversimplified assumptions of the BSM model. Burgard and Kjaer extended the BSM model to include adjustments such as a credit value adjustment (CVA), a debit value adjustment (DVA) and a funding value adjustment (FVA). The aim of this paper is to extend the CRR model to include CVA, DVA and FVA and to prove that this extended CRR model coincides with the model that results from discretising the Burgard and Kjaer model. Our results are numerically implemented and we also show that as the number of time-steps increase in the derived tree structure model, the model converges to the model developed by Burgard and Kjaer.     

A two-stage segment and prediction model for mortgage prepayment prediction and management

Predicting the risk of mortgage prepayments has been the focus of many studies over the past three decades. Most of these works have used single prediction models, such as logistic regressions and survival models, to seek the key influencing factors. From the point of view of customer relationship management (CRM), a two-stage model (i.e., the segment and prediction model) is proposed for analyzing the risk of mortgage prepayment in this research. In the first stage, random forests are used to segment mortgagors into different groups; then, a proportional hazard model is constructed to predict the prepayment time of the mortgagors in the second stage. The results indicate that the two-stage model predicts mortgage prepayment more accurately than the single-stage model (non-segmentation model).     

The bull and bear market model of Huang and Day: Some extensions and new results

We develop a financial market model with interacting chartists and fundamentalists that embeds the famous bull and bear market model of Huang and Day as a special case. Their model is given by a one-dimensional continuous piecewise-linear map. Our model, on the other hand, is more flexible and is represented by a one-dimensional discontinuous piecewise-linear map. Nevertheless, we are able to provide a more or less complete analytical treatment of the model dynamics by characterizing its possible outcomes in parameter space. In addition, we show that quite different scenarios can trigger real-world phenomena such as bull and bear market dynamics and excess volatility.     

Model risk and option hedging

This paper presents a theoretical approach to option hedging and valuation when traders are facing model risk. Model risk is restrictively defined as the financial risk resulting from the choice of an approximating model to proxy for the true but ex-ante unknown state space of the underlying security process. A generalized model is defined for estimating the appropriate volatility markup, which is dependent on the noisiness of the volatility estimate over time. Delta neutral hedge portfolios are created using simulated S&P 500 option prices to demonstrate that using a volatility markup in the traditional binomial model reduces model risk.     

常用溃疡性结肠炎动物模型的探讨及比较

通过观察及检测数年来国内外多种溃疡性结肠炎动物模型的制备及其特点来明确适用于不同研究方法或研究目的UC动物模型。文章列举出几种常用的模型,包括乙酸模型、二硝基氯苯模型、三硝基苯磺酸模型及免疫加化学刺激模型,其中乙酸和二硝基氯苯模型适用于至炎机理及中药药理的研究,三硝基苯磺算和免疫加化学刺激模型适合免疫机理及慢性期给药的研究。乙酸和三硝基苯磺酸模型操作简便,易于重复,而另外两种模型过程较复杂,周期较长。     

Model uncertainty and policy evaluation: Some theory and empirics

This paper explores ways to integrate model uncertainty into policy evaluation. We describe a general framework that includes both model averaging methods as well as some measures that describe whether policies and their consequences are model dependent. These general ideas are then applied to assess simple monetary policy rules for some standard New Keynesian specifications. We conclude that the original Taylor rule has good robustness properties, but may reasonably be challenged in overall quality with respect to stabilization by alternative simple rules, even when these rules employ parameters that are set without accounting for model uncertainty.     

Queensland State Impact and Projection Model: The Household Sector

The Queensland Impact and Projection model is an integrated input–output econometric model of the Queensland economy. Its purpose is to complement a conventional input–output model for analyzing economic impacts at the state level. This paper provides an overview of some of the methods used to model the household sector in an input–output framework, before describing the approach taken in the Queensland model. Some results which support the empirical performance of the model are also provided. It is demonstrated that the integrated model is a viable alternative and improvement on the conventional input–output model. The results are consistent with the static input–output model and conform to expectations about how the economy responds in real impact situations.     

Coarsened Propensity Scores and Hybrid Estimators for Missing Data and Causal Inference

In the areas of missing data and causal inference, there is great interest in doubly robust (DR) estimators that involve both an outcome regression (RG) model and a propensity score (PS) model. These DR estimators are consistent and asymptotically normal if either model is correctly specified. Despite their theoretical appeal, the practical utility of DR estimators has been disputed (e.g. Kang and Schaffer, Statistical Science 2007; 22: 523–539). One of the major concerns is the possibility of erratic estimates resulting from near‐zero denominators due to extreme values of the estimated PS. In contrast, the usual RG estimator based on the RG model alone is efficient when the RG model is correct and generally more stable than the DR estimators, although it can be biased when the RG model is incorrect. In light of the unique advantages of the RG and DR estimators, we propose a class of hybrid estimators that attempt to strike a reasonable balance between the RG and DR estimators. These hybrid estimators are motivated by heuristic arguments that coarsened PS estimates are less likely to take extreme values and less sensitive to misspecification of the PS model than the original model‐based PS estimates. The proposed estimators are compared with existing estimators in simulation studies and illustrated with real data from a large observational study on obstetric labour progression and birth outcomes.     

中小企业与银行的信贷博弈模型构建

中小企业在国民经济中占有重要地位,但其融资难的问题却普遍存在,这无疑极大阻碍其发展。本文针对中小企业与银行间的关系,分析了贷前分开均衡和合并均衡存在的条件,以及贷后从银行考查与否和企业骗贷与否两方面给出了银企在多次信贷中的复制动态过程。并探讨了建立新型银企关系的条件,为银行在完全市场条件下的贷前信号博弈和有限理性下的贷后进化博弈中,如何有效规避信贷风险提出了改进思路。     

About handy, handmade and handsome models

Statistical inference deals with natural variation between units and with uncertainty due to sampling, measurement error and random assignment to treatments. Almost always it does so within one model, assumed fixed and valid. Here, however, variation of conclusions due to variation in model choice will be discussed. Heuristics to find appropriate models are seldom taught, and model fit tests and model fit diagnostics are far from optimal. The use of more than one model for the same data is illustrated by examples from Item Response Theory.