房地产股权投资信托当事人的利益均衡研究

简要介绍了房地产信托,对房地产股权投资型信托的委托人、受托人利受益人三方当事人的利益均衡进行分析讨论,建立了相应的数学模型,并通过将持股比例引入模型,使三方构成一个有机的整体,然后对模型进行比较详尽的分析研究,找出影响最优持股比例的因素并分析,得出一些有意义的结论。     

Managing Earnings with Intercorporate Investments

Abstract:  We explore to what extent firms deliberately manage their financial reports by exploiting the flexibility of generally accepted accounting principles. Using a sample of Oslo Stock Exchange-listed firms with 20–50% equity holdings in other firms, we find that firms with high financial leverage tend to maximize reported earnings from these investments through their choice between the cost method and the equity method, possibly in an attempt to reduce debt renegotiation costs or to avoid regulatory attention. In contrast, managers do not systematically bias reported earnings to extract private benefits or to signal revised expectations about future cash flows. Firms use different earnings management tools in a consistent way, as the earnings effect of the cost/equity choice is not offset by discretionary accruals.     

美国空军卫星控制网的现状与发展趋势

近几年的几场局部战争部分表明了现代军事航天系统的重要性。本文主要介绍了美国最重要的一个军事航天测控网－－空军卫星控制网的情况，希望能对了解美国军事航天测控体制有所帮助。     

The Analysis and Improvement on the Lowest Price Method

The book of Modem Consulting Method and Practice is the appointed teaching material for registered consulting engineer qualification examination （investment） of China. Its Lowest Price method in evaluating mutually exclusive project has some problems, which contradict the delta IRR and NPV methods. We improve the method and recommend Good-Bad Boundary Price Method to solve problem of this type.     

科技英语中数量增减的译法

本文系统地归纳了在科技文献中常见的涉及到倍数增减的结构及其表达方式     

浅析石油化工项目产品市场分析

市场分析是项目前期的重要工作之一，目前尚未赢得人们足够的重视。国外的投资咨询公司对石油化工项目的产品市场分析有其一套比较完整的操作程序和评估体系，以BOPP为案例介绍了市场分析的思路和方法，并且指出市场分析作为一种新的理念，必须进一步深化和细化，逐步加以完善。     

标准化在油藏监测工作中的作用

以油藏监测工作中的油藏压力监测为例，介绍了标准化工作在压力资料录取及解释分析中的作用。并用实例说明了标准化作业在油田开发方案的制定及油藏压力监测中的应用。     

Predicting the geo-temporal variations of crime and disorder

Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do little to assist in the optimal allocation of police resources. This paper introduces methods for crime incident forecasting by focusing upon geographical areas of concern that transcend traditional policing boundaries. The computerised procedure utilises a geographical crime incidence-scanning algorithm to identify clusters with relatively high levels of crime (hot spots). These clusters provide sufficient data for training artificial neural networks (ANNs) capable of modelling trends within them. The approach to ANN specification and estimation is enhanced by application of a novel and noteworthy approach, the Gamma test (GT).     

Inferential Causal Models: Integrating Quality & Quantity

In-depth data analysis plus statistical modeling can produce inferentialcausal models. Their creation thus combines aspects of analysis by close inspection,that is, reason analysis and cross-tabular analysis, with statistical analysis procedures,especially those that are special cases of the generalized linear model (McCullaghand Nelder, 1989; Agresti, 1996; Lindsey, 1997). This paper explores some of the roots of this combined method and suggests some new directions. An exercise clarifies some limitations of classic reason analysis by showing how the cross tabulation of variables with controls for test factors may produce better inferences. Then, given the cross tabulation of several variables, by explicating Coleman effect parameters, logistic regressions, and Poisson log-linear models, it shows how generalized linear models provide appropriate measures of effects and tests of statistical significance. Finally, to address a weakness of reason analysis, a case-control design is proposed and an example is developed.