基于工序异质性的关键链项目缓冲监控

通过关键链项目缓冲监控可以防止缓冲在项目执行阶段被浪费,并保证项目的工期,有效的监控方法有利于提升项目的整体绩效。为了克服统一缓冲监控方法的不足,在保证项目工期的基础上,本文考虑成本因素对项目的影响,提出了一种基于工序成本和工期敏感度的差别动态缓冲监控模型。该模型考虑工序异质性将工序划分为成本敏感型工序和工期敏感型工序,根据工序的综合感知效用进行缓冲监控分配,并结合敏感度对不同类型的工序设置不同的监控基准点和纠偏措施。仿真结果表明,差别监控相对于统一的监控模式有利于实现项目工期和成本的双优化,验证了本文方法的有效性。     

问卷设计中敏感性问题的处理

针对目前市场调查中敏感性问题的研究现状,提出从问卷设计角度来进行敏感性问题的处理,得到了敏感性问题的两种处理办法：非数学化的处理和数学化的处理——随机回答技术。实践表明,这两种方法能更好地提高调查质量。     

资源、环境与贫困关系的研究

我国政府目前正在进行着一场世纪工程—西部大开发。然而,西部开发由于地域辽阔,情况尤显复杂,故不能搞“一刀切”。本文作者在此文论述中针对生态敏感地区、森林丰富地区、生物多样性地区作了资源、环境与贫困关系的深层次研究分析,提出一些值得我们重视和思考的问题。     

电子市场中时间价格敏感需求下的交货期定价决策

电子市场中,如何通过交货期报价来增大需求、提高收益,对于网络营销企业来说是至关重要的.本文假定在一个包含网络营销企业与其客户的运作系统中,需求同时对价格与时间都敏感的条件下,以最优化自身收益为目标、以满足必须达到规定的服务水平为主要约束条件,构建了交货期定价决策模型.通过数值算例,探讨了在电子市场中消费者为价格敏感或交货期敏感时,网络营销企业的最优定价策略.上述结论可以为网络营销企业在电子市场中的定价决策提供有益的指导.     

数据驱动下收货方质量偏好与电商配送服务质量优化

针对"互联网+大数据"优化电商配送服务质量问题,明确不同收货方的质量需求稳定性,引导电商根据收货方不同质量敏感性提供相对精准服务,提升配送服务质量。模拟投票结果的形成过程聚类得到收货方对服务质量偏好的记忆性特征：（1）"无记忆"型收货方;（2）"记忆"型收货方;（3）"不确定"型收货方;（4）收货方总体。进一步推导不同规划类型求解空间,设计得到"无记忆"型收货方动态规划精确求解方法,及其他三种类型近似求解粒子群算法。研究过程中,配送资源质量感知度被嵌入到模型约束;"无记忆"型收货方的质量需求规划问题转化为零库存策略最优解问题,进而证明存在精确解;"记忆"型收货方呈现出对质量感知的累积;"不确定"型收货方模型通过赋值即可得总体收货方表达式。结果表明：数据驱动研究框架借助大数据资源,使得电商更易通过收货方的质量偏好设计更加匹配的配送方案;不确定服务需求得到有效满足,投入成本的利用率更高;通过特征分类的方式,尽可能地抽取能够精确最优化的部分,缩小NP范围,提高整体求解的精确度。     

A stratified estimation of a sensitive character by using geometric distribution

Abstract

In this paper, we consider the estimation of a sensitive character when the population is consisted of several strata; this is undertaken by applying Niharika et al.’s model which is using geometric distribution as a randomization device. A sensitive parameter is estimated for the case in which stratum size is known, and proportional and optimum allocation methods are taken into account. We extended the Niharika et al.’s model to the case of an unknown stratum size; a sensitive parameter is estimated by applying stratified double sampling to the Niharika et al.’s model. Finally, the efficiency of the proposed model is compared with that of Niharika et al. in terms of the estimator variance.     

一种化简逻辑函数的新方法

介绍了一种化简逻辑函数的新方法。该方法是用寻找可消变量最小项求出本原蕴含项；用分析最小项的包含情况求出本质蕴含项；对大于四变量的函数采用分解变量的方法化简。该方法使多变量函数化简准确、迅速。文中实例的化简数据由自编软件给出。     

RAP Therapy: A Group Work Intervention Method for Urban Adolescents

ABSTRACT

The Council on Social Work Education (CSWE) places a premium on the development of cultural competence among practitioners. To this end, the present study highlights how social work practitioners, specifically group work leaders, can utilize elements of the culture of urban adolescents to develop effective group work intervention strategies. The article compares adolescent participants' perceptions of usefulness of traditional group therapy and similar group work sessions using RAP music as a conduit to support prosocial skills development. A nomenclature of three adolescent groups was tested: violent offenders, status offenders, and a control condition of high school students with no criminal history. Findings were unequivocally in favor of the RAP therapy as a tool for advancing prosocial behavior.     

An improved randomized response model: estimation of mean

In this paper, we suggest a new randomized response model useful for collecting information on quantitative sensitive variables such as drug use and income. The resultant estimator has been found to be better than the usual additive randomized response model. An interesting feature of the proposed model is that it is free from the known parameters of the scrambling variable unlike the additive model due to Himmelfarb and Edgell [S. Himmelfarb and S.E. Edgell, Additive constant model: a randomized response technique for eliminating evasiveness to quantitative response questions, Psychol. Bull. 87(1980), 525–530]. Relative efficiency of the proposed model has also been studied with the corresponding competitors. At the end, an application of the proposed model has been discussed.     

Estimation of a rare sensitive attribute for two-stage randomized response model in probability proportional to size sampling using Poisson probability distribution

This paper addresses the estimation of the mean number of individuals in the population who possess a rare sensitive attribute using Poisson distribution for the situations of (i) clustered population and (ii) stratified population with clusters are strata units. Properties of the proposed estimation procedures have been discussed when the proportion of a rare unrelated non-sensitive attribute is assumed to be known as well as unknown. Empirical studies are carried out to support the theoretical results which showed dominance over Lee et al. [Estimation of a rare sensitive attribute in probability proportional to size measures using Poisson distribution. Statistics (Ber). 2014;48(3):685–709] estimation procedures.