因子模型

Gave a test statistic SC which can be used to detect whether the curvature is significance in the model.

2006提出了一个仅基於参数估计值的统计量SC作为判断二因子模型中，曲面是否存在之依据。

The aim of this thesis is to use one-factor model and probability bucketing approach to value CDO. Furthermore, a sensitivity analysis is conducted.

本文是利用单一因子模型及机率水桶法，采用透过计算边际违约机率下，评估资产损失比例与分配，并根据不同参数选择，模拟与实证分析这些参数对CDO商品之影响。

Compared CAPM and Fama French the explanation of 3 factor model to Chinese stock market ability.

并比较了CAPM和Fama French三因子模型对中国股票市场的解释能力。

We also compare the explanatory ability of CAPM and Fama|French three|factor model for Chinese stock market.

并比较了CAPM和Fama French三因子模型对中国股票市场的解释能力。

In many fields, such as society, economy, business and physical science, factor analysis models is applied in the multi-index system of these fields, but factor analysis models and theory is not complete, which cumbers the application and development of factor analysis.

摘要本文应用因子分析模型L及其解，求出了经典因子分析模型中公因子载荷、公因子、特殊因子的精确解，解决了经典因子分析模型和理论存在的9个问题，进一步，指出了经典因子分析模型及其解根本的局限性问题：公因子解没有排除观测误差的干扰，不能达到降维的目的等。

Based on systemic hackling much research literature about brand competence in the academia,the article clarifies the definition and meaning of brand competence ,presents the created mechanism of brand competence ,designs the loyalty factors model of brand competence s evaluation in consumer s views and points out the research directions in the future.

在对学术界关于品牌竞争力大量研究成果进行系统梳理的基础上，文章立足消费者视角，明晰了品牌竞争力的概念及其内涵，阐释了品牌竞争力的生成机理，构建了品牌竞争力评价的忠诚因子模型，并指出了未来研究的主要方向。

While in Fama-French three-factor model, portfolios of third industry, greater size and smaller book/market value are affected more remarkably by skewness, compared with other portfolio.

而三因子模型中，偏态对大规模和小B/M值的投资组合有较显著的影响，对第三产业的影响超过其他产业。

Improving vertical resolution for density curves is by means of restructuring the response from large and small spacing sondes and borehole effect correction factor and coherence factor are used. Form the principle of GR logging, calculate volumes in investigating areas taken by borehole, formation, up and low shoulder beds, along with distance between center of gravity of the four unit bodies and detector. Based on the above, the weighting function of each unit body to GR signal contributions are established, thus realizing processing of GR logs with high resolution. The resistivity logging model uses "resolution matching" method to improve the resolution of the logs. After the process, PNN model is made to recognize the oil-gas-water bed. Compared with BPNN, the net work is featured swiftness, accuracy and ease of practical application.

提高密度测井曲线垂直分辨率是通过对重新组合长、短源距探测器响应的算法来提高补偿密度曲线的垂直分辨率，并加入井眼影响校正因子和相关性因子；自然伽马测井模型从基本原理出发，扣除井的影响，计算井筒、地层及其上下围岩所占探测球域体积及其重心到探测器的距离，以此建立各单元体对伽马测井信号贡献的权函数，通过权函数逐层计算不同厚度地层条件下各的单元体权因子，实现自然伽马曲线高分辨率处理；电阻率校正模型应用&分配率匹配&模型，应用低分辨率曲线提高为高分辨率曲线：曲线校正后，利用常规测井资料并且结合校正后的密度、伽马、电阻率等三个对判断油水层有利的指标，通过概率神经网络模型识别储层流体性质，较以前的模型，不仅极大的提高识别正确率，同时与普通神经网络相比较，提高了网络的运行速度和实用性。

In order to solve dynamic, complicated and uncertain problems, multi-agents based distributed intelligence decision support systems, description and decomposition of complicated decision tasks, and cooperation and reasoning among multi-agents are elaborated in this paper. The details are given as follows. 1. Agent and ABDIDSS modelsIn allusion to the current problems of research on agents theory models, payoff and probability factors are introduced on the basis of mental state models of classical BDI of agent and joint BDI of multi-agents in this paper, mental state models of individual agents and joint metal state models of group agents based on payoff and probability factors are built up. Introducing payoff and probability factors satisfies requirements of uncertainty and self-benefit of agents to the environments.

本文针对动态的、复杂的以及不确定问题，以基于多Agents的分布式智能决策支持系统及复杂决策任务的描述与分解、多Agents之间的协作与推理机制为研究内容，具体的研究内容如下： 1、Agent和ASDIDSS模型针对当前多Agents理论模型研究存在的问题，文章在经典Agent的BDI以及联合BDI等心智状态模型基础上引入效用与概率因子，建立基于效用与概率因子的个体Agent的心智状态模型以及群组Agent联合心智状态模型，引入效用与概率因子满足Agent对环境的不确定性以及自利性的要求。

It introduces China pharmaceutical industry's characters and problems and then analyzes influence factors from the macroscopically, interspaced and microscopically views. Chapter four is the empirical research part in this paper. It introduces the principal of appraisal index and the choosing of the indexes. Then it introduces the building of model and its disposal method in Spss. To get a clear view of principal components analysis the paper analyzes the differentiate and connection between PCA and factor analysis. In this basement, the paper introduces the disposal process and results of the model. The paper then improves the model with entropy right method to eliminate the portrait diversity of data. To validate the model's stability, the paper makes a significance test of the four results.

第四章是本文的实证研究部分，首先介绍了评价指标选取的原则和指标的确定；然后介绍了模型的构建及其在spss中的处理原理，由于主成分分析法不能在spss中直接实现，且其原理和操作都易与因子分析相混淆，所以本节首先分析了主成分分析法和因子分析法的区别和联系，在此基础上描述了怎样在spss的因子分析的基础上利用主成分分析法进行投资价值评价模型的数据处理；然后介绍了模型的数据处理过程和输出结果，随后利用熵权法对模型做了进一步改进，消除了数据间的纵向差异性，并对改进前后的输出结果进行显著性检验，以验证模型的稳定性。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。