建构主义学习设计在数学建模课程教学中的运用

数学建模课程的开设架设起学生已有知识和实际问题的解决之间的一道桥梁,强调培养学生主动发现问题、分析问题、与人合作共同探索的能力。这一思想与建构主义学习理论是相通的。在具体教学方法上采用建构主义学习设计构建良好的课堂学习环境,可以更好的达到数学建模课程的教学目标。     

数学建模教学改革的探索与实践

传统的教学模式具有较强的封闭性和保守性,忽略了数学思想的建立、数学方法的使用和学习能力的培养。《数学建模》具有难度大、涉及面广、形式灵活等特点,不易于培养学生的自主精神。学生普遍反映概念难懂,习题难做,方法不易掌握,自己建模有难度。虽然这门课程越来越受重视,但在教学中存在着问题。因此,在有限的课时内,如何组织安排好课堂的教学,进行教学方法的改革十分必要,且势在必行。     

生别调解下高卷入产品品牌体验对品牌忠诚的影响

顾客的品牌体验会影响品牌忠诚,在现有文献中已基本达成其识。本文基于进一步的维度划分,研究了品牌体验五个维度对品牌忠诚两个维度的不同影响,尤其检验了性别差异的调解作用。构建了以品牌体验为自变量,品牌忠诚为因变量,性别为调节变量的结构方程模型,进行实证研究。结果表明：品牌体验各维度对品牌忠诚的影响有不同,并且性别差异的调解效应显著。并提出企业应根据不同的目标顾客群,以不同的体验维度为重点构建品牌忠诚。从一个新的视角为品牌忠诚构建提供了理论指导。     

Regime-switching and interest rates in the European monetary system

This paper examines the impact that a currency target zone has on short-term interest rates. For a number of countries in the European Monetary System, we characterize the short rate using a regime-switching model that allows for a differently parameterized mean-reverting square-root process in each regime. We find that the volatility, the level, and the speed-of-adjustment are all higher in the regime that is operative during speculative attacks and currency crises. Moreover, we allow the conditional probability of being in each regime to be state-dependent so the model can be used to examine questions relating to the likelihood of realignments and the stability of the target zone system.     

论数学建模思想在高等数学教学中的渗透

高等数学是工科学生的必修课，数学建模是提高学生综合素质，锻炼分析问题能力和动手能力的一种高级形式。在高等数学教学中融入数学建模思想是搞好高等数学教学，充分发挥数学重要作用的有效手段和途径。     

The impact of the Internet on human activity–travel patterns: analysis of gender differences using multi-group structural equation models

The widespread use of the Internet for conducting various types of activities may be leading to considerable change in people’s activity–travel patterns. Past studies, however, have left many issues unaddressed. Using an Internet-activity diary dataset and multi-group structural equation modeling, this study examines the complex interactions between different types of Internet and physical activities, with a special focus on gender differences and Internet maintenance and leisure activities. The results indicate that the impacts of Internet activities on people’s activity–travel patterns are significantly different across gender. In general, Internet use for maintenance purposes has a greater impact on women’s activity–travel in the physical world, while Internet use for leisure purposes affects men’s physical activities and travel to a greater extent. Further, breaking Internet activities down into different categories reveals some hidden patterns that would not have been detected if these different types of Internet activities were lumped together as a single category.     

基于ISM的可达矩阵的简便算法

解释结构模型化技术是最基本、最具特色的系统结构模型化技术,求可达矩阵又是建立递阶结构模型(ISM)中最重要的一步,本文基于ISM有向图,根据布尔代数运算规则,阐述一种更简便的由邻接矩阵求可达矩阵的新算法。本文与Warshall算法作对比,体现出该新算法的简便之处。该算法以后也可以实现计算机化。     

低地板有轨电车可靠性分配及应用

可靠性分配时保证低地板有轨电车整车可靠性水平的重要任务之一。比例组合法多用于平台化设计的设备或系统可靠性分配工作,首先明确故障定义,进行功能分解,建立模型,最后将指标分配至各子系统,使得设计人员和供应商明确可靠性设计要求。     

Flexible estimation of price response functions using retail scanner data

Kalyanam and Shively [1998. Estimating irregular pricing effects: a stochastic spline regression approach. Journal of Marketing Research 35 (1), 16–29] and van Heerde et al. [2001. Semiparametric analysis to estimate the deal effect curve. Journal of Marketing Research 38 (2), 197–215] have demonstrated the usefulness of nonparametric regression to estimate pricing effects flexibly. The empirical results of these two studies, however, also revealed that nonparametric regression may suffer from too much flexibility leading to nonmonotonic shapes for price effects. In this paper, we show how the problem of nonmonotonicity can be dealt with without losing the power of flexible estimation techniques. We propose a semiparametric approach based on Bayesian P-splines with monotonicity constraints imposed on own- and cross-price effects. In an empirical application, we illustrate that flexible estimation of own- and cross-price effects can improve the predictive validity of a sales response model substantially, even when price response curves were constrained to show a monotonic shape, as suggested by economic theory. We also discuss the consequences from an unconstrained estimation of price effects.     

An Easily Implemented Framework for Forecasting Ticket Sales to Performing Arts Events

This paper presents an easily used framework for modeling ticket sales to performing arts and entertainment events. Unlike existing efforts in this area, our framework allows us to: (1) model demand for events that consist of more than a single performance; (2) account for the influence of promotional effort on ticket sales; and (3) account for sellouts of some performances. The framework is applied to ticket sales for a university theater company, where it predicts ticket sales well in both an estimation and holdout sample. We discuss how the framework has influenced the company's marketing decisions.