基于BG/NBD模型的电信客户终身价值测度研究

在技术水平不断提升以及产品服务趋于同质化的环境下,我国移动通信企业开始由基础网络建设向专业化的增值业务转型,在激烈的市场竞争中,及时准确的挖掘高价值客户,提供个性化的功能业务,提升客户价值,成为各通信企业获取新竞争优势的有效途径之一。在BG/NBD模型的基础上,通过捕捉客户随机交易行为,构建了客户终身价值测度模型,结合电信运营商的客户数据进行客户终身价值预测研究,结果发现,模型在客户整体层面和个体层面均能有效且准确的预测客户终身价值。     

谈高压配网输变电工程可研阶段系统规划设计收资

文章就高压配网输变电工程可研阶段的系统规划设计收资情况作简要的分析，并通过工程实例，罗列出进行系统规划设计前所需要收集的大量数据及收资方法，以供同行参考。     

区域耕地数量变化预测方法的对比研究

研究目的:对区域耕地数量变化预测方法进行对比分析,科学合理确定区域耕地数量。研究方法:通过Pearson相关分析法筛选影响耕地变化的关键因子,利用改进的BP神经网络算法、灰色模型和多元线性回归模型法对费县耕地数量变化进行预测。研究结果:改进的BP神经网络算法相对传统的灰色模型和多元线性回归模型等预测方法具备较高的预测精度。研究结论:改进的BP神经网络算法是进行耕地数量变化预测的较好方法,具有实际指导意义,其预测结果可以为当地相关部门合理地确定耕地保有量、推进耕地保护提供科学依据。     

Early-warning analysis for currency crises in emerging markets: A revisit with fuzzy clustering

Currency crises, also often called balance-of-payment crises, occur when massive capital outflows force a country to devalue or float its currency. The world-wide integration of capital markets since the 1980s and 1990s has increased the degree of capital mobility, which also determined a substantial turbulence in foreign exchange markets and frequent currency crises. In this paper, we explore advanced supporting instruments for predicting currency crises, based on an empirical study of the currency crisis episodes in 23 emerging markets around the world during the second half of last century. More specifically, we investigate the usefulness of prediction models built based on the fuzzy c-means method. First we build clustering models that partition data into a certain number of overlapping natural groups. Thereafter, we classify the data clusters into early-warning clusters and tranquil clusters. We compare the performance of our models with a conventional c-means clustering model and a benchmark probit model. The results show that the proposed models achieve a similar level of out-of-sample performance as the probit model and c-means model. The fuzzy approach also introduces additional explanatory advantages into the early-warning analysis process. Copyright © 2010 John Wiley & Sons, Ltd.     

FORECASTING VOLATILITY WITH THE MULTIFRACTAL RANDOM WALK MODEL

We study the problem of forecasting volatility for the multifractal random walk model. In order to avoid the ill‐posed problem of estimating the correlation length T of the model, we introduce a limiting object defined in a quotient space; formally, this object is an infinite range log volatility. For this object and the nonlimiting object, we obtain precise prediction formulas and we apply them to the problem of forecasting volatility and pricing options with the MRW model in the absence of a reliable estimate of σ and T.     

The performance of insolvency prediction and credit risk models in the UK: A comparative study

Theoretically-driven, market-based contingent claims models have recently been applied to the field of corporate insolvency prediction in an attempt to provide the art with a theoretical methodology that has been lacking in the past. Limited studies have been carried out in order directly to compare the performance of these models with that of their accounting number-based counterparts. We use receiver operating characteristic curves to assess the efficacy of thirteen selected models using, for the first time, post-IFRS UK data; and investigate the distributional properties of model efficacy. We find that the efficacy of the models is generally less than that reported in the prior literature; but that the contingent claims models outperform models which use accounting numbers. We also obtain the counter-intuitive finding that predictions based on a single variable can be as efficient as those which are based on models which are far more complicated – in terms of variable variety and mathematical construction. Finally, we develop and test a naïve version of the down-and-out-call barrier option model for insolvency prediction and find that, despite its simple formulation, it performs favourably compared alongside other contingent claims models.     

北京市对外贸易发展趋势及预测——基于灰色系统理论

对北京市对外贸易的变化规律及其发展趋势进行分析研究，利用灰色系统理论预测模型，选取2001～2012年间北京市进出口总额数据，对北京市2013～2015年的进出口规模进行了预测。预测结果表明北京市2013～2015年的进出口贸易总额仍将持续增加，对外贸易逆差也持续增加。     

语域预测在听力教学中的应用

语域理论是系统功能语言学中的一个重要理论。系统功能语言学在语境下研究语域,语域和语境是互为预测关系。将语域预测应用到大学英语听力教学可以提高学生的语言意识和元语言能力,从而可以提高学生的听力理解水平。     

“预测”在英语听力理解中的运用

英语听力是英语学习中的一个难点,本文另辟角度,从几个方面运用“预测”的技巧来提高学生的英语听力理解水平。     

唐山市降水变化特征及趋势预测

根据77处雨量站1956-2000年降水量同步系列资料，对唐山市降水变化的周期性、阶段性、不稳定性、降水倾向等特征进行分析，并利用灰色预测模型，预测了降水变化趋势。