物流的定义及其他——与王槐林、刘明菲先生商榷

物流的定义多种多样,林林总总,但都没有把生产过程包括到物流的活动中,只有王槐林、刘明菲先生主编的《物流管理学》却把生产活动当作物流的重要内容之一,并概括在物流的定义之中。这种观点如果成立,将给有关理论和实践造成很大混乱。     

学科建设“诊断”的指标体系与评价方法

该文通过对学科建设内容的研究分析，运用模糊数学理论，建立了分层次模糊综合评判模型及其技术方法，有效地解决了对学科建设复杂因素定量化评价的问题。研究中创新性地提出学科建设优度的概念和计算公式，用来对学科建设的状况进行定量分析与评价，有利于找准学科存在的问题与不足，明确努力的方向，达到“以评促建设，以评促改革，以评促发展”的评价目的。在确定评价指标体系和指标分级标准的基础上，应用分层次模糊综合评判模型对不同研究领域的学科进行综合评价，其评价结果较充分地验证了该模型的科学性和实践性，对推进学科建设具有积极的意义。     

用数学函数分析法对统计指数因素分析的进一步改良——谈综合指数体系的缺陷与消除

指数因素分析法是一种重要的统计分析方法,而其分析结果的正确与否取决于所用的指数体系。利用传统的综合指数体系从事因素分析虽方便,使用,但也存在一些不足。本文提出用其他指数体系进行因素分析的思想,以弥补传统综合指数体系在因素分析中的缺陷。     

基于层次分析法与模糊评价的学科水平评估

在学科建设中,学科水平评估可以采用专家咨询的方法,分别从学术队伍、科学研究、教学与人才培养和工作条件四个方面设计学科水平评估指标体系,运用层次分析法确定指标权重系数,针对评估指标的模糊性,建立学科水平评估模糊综合评价模型,并通过实例分析和计算,证明该学科水平评估体系合理、有效、可行。     

CCI与中国证券市场走势的实证分析

美英等国的消费者信心指数(CCI)对股市指数收益有很重要的影响力。为探讨CCI与中国证券市场走势的相关关系,通过两类模型对1999年10月~2004年8月间我国股市收益与CCI之间的关系进行了实证分析。结果表明:CCI对深沪五个指数的走势有显著的解释与预测效果,但对我国的B股市场似乎没有显著性。     

聚合物波导折射率渐变型Spot-size converter设计

围绕光致折射率变化聚甲基苯基硅烷高分子光波导，设计了新型的折射率渐变型Spot-size converter，可有效改善光纤与光波导的端面耦合效率．BPM仿真计算显示，耦合效率由78％提高到91％，为器件制备提供了理论依据．     

Dimensions of occupational inequality and Duncan's socioeconomic index

Using the original 1962 Blau and Duncan data for white males, I compare relative amounts of inequality in the distributions of occupational prestige, earnings, autonomy, and job skills. Also assessed are the degree of status rigidity (or intercorrelations) among these four dimensions of occupational inequality and the simultaneous relations among these four dimensions in a father-to-son occupational mobility model. These findings are compared to those obtained with Duncan's socioeconomic index to determine whether additional information can be obtained when using independent measures representing the multiple dimensions of occupational inequality versus using the SEI alone. Only minor discrepancies are found, and these relate to autonomy and earnings.An earlier version of this paper was presented at the 1985 Pacific Sociological Association meetings.     

中药“保健增乳乐”对围产期奶牛血液生化指标的影响

试验选用30头干奶牛随机分成试验Ⅰ组、Ⅱ组及对照组(Ⅲ),观察中药“保健增乳乐”对围产期奶牛血液生化指标的影响。在此基础上,异地选择10头干奶牛随机分成试验组(Ⅰ)和对照组(Ⅱ)进行了重复试验。结果显示:中药“保健增乳乐”能显著地降低产后奶牛血清谷草转氨酶(SGOT)、血清γ—谷氨酰转肽酶(Sγ—GT)、血清碱性磷酸酶(SALP)的活性(P<0.05),血清酮体含量(KB)、血清甘油三酯(TG)含量显著减少(P<0.01)。血糖(G)含量升高(P<0.05)。血清钙、无机磷的含量维持正常水平。结果显示中药“保健增乳乐”能有效地改善围产期奶牛的肝脏功能,维持奶牛的正常代谢,预防奶牛围产期的营养代谢性疾病。     

A fast splitting procedure for classification trees

This paper provides a faster method to find the best split at each node when using the CART methodology. The predictability index is proposed as a splitting rule for growing the same classification tree as CART does when using the Gini index of heterogeneity as an impurity measure. A theorem is introduced to show a new property of the index : the for a given predictor has a value not lower than the for any split generated by the predictor. This property is used to make a substantial saving in the time required to generate a classification tree. Three simulation studies are presented in order to show the computational gain in terms of both the number of splits analysed at each node and the CPU time. The proposed splitting algorithm can prove computational efficiency in real data sets as shown in an example.     

A hybrid ARIMA and support vector machines model in stock price forecasting

Traditionally, the autoregressive integrated moving average (ARIMA) model has been one of the most widely used linear models in time series forecasting. However, the ARIMA model cannot easily capture the nonlinear patterns. Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation problems. Therefore, this investigation proposes a hybrid methodology that exploits the unique strength of the ARIMA model and the SVMs model in forecasting stock prices problems. Real data sets of stock prices were used to examine the forecasting accuracy of the proposed model. The results of computational tests are very promising.