品牌区域市场资源竞争及品牌分布规律

本文基于生态学原理,探讨了同类品牌区域市场资源竞争问题以及品牌自由分布规律,给出了同类品牌资源竞争及分布规律对我国企业实施名牌战略的几点启示.     

中国医药高技术产业及其市场资源配置的态势分析

本文在论述了医药产业作为高技术产业所具有的高技术、高投入、高风险以及相对垄断性等特征之后,分析了我国医药市场的营销概况和医药企业的发展现状,对比了我国与发达国家的医药企业在经济规模、市场营销和研究开发（R&D）投入方面所存在的差距 , 提出我国在加入WTO后医药产业对所面临挑战的对策。     

客户价值的虚拟配送中心价值链研究

指出了传统价值链思想的局限性 ,从企业获得持续竞争优势出发 ,提出了基于顾客价值的价值链分析方法 ,并进一步将其应用到虚拟配送企业中。分析了虚拟配送中心价值链的特点 ,并对虚拟配送企业的运作策略进行了讨论     

浅析我国企业经营者的激励和约束机制

我国已经入世,面临全球化竞争,许多企业缺乏对企业经营者有效的激励机制和约束机制,致使企业缺乏动力和制度保障,建立和健全对企业经营者的激励和约束机制成为当务之急。对此既要重视物质激励,也要重视精神激励,同时还要加强对经营者的内部约束和外部约束,并形成制度。     

Description of a subfamily of the discrete pearson system as generalized-binomial distributions

In this paper we prove that a subfamily of distributions of the discrete Pearson, system, containing the Pólya distribution without replacement and hence the hypergeometric distribution, can be described as generalized-binomial distributions, i.e., the distribution of the number of successes which occur in independent trials. It is also shown that the probability of success will necessarily be different in each trial, with the exception of deterministic ones. As a consequence, all the properties of the generalized-binomial distribution will apply to this subfamily. Thus, applications to hypothesis testing and confidence intervals in the Pólya distribution are considered.     

产业融合促进农民共同富裕:作用机理与政策选择

产业融合作为我国农村生产方式的重要变革形态,对农民就业和增收带来深远影响。其机理在于,产业融合发展促进了农村资本要素投入、人力资本积累、农业技术效率提升和生产组织模式创新,不仅提高了资源要素配置效率和农业劳动生产率,而且通过构建合理的利益分享机制,使农民在参与产业链建设中提高了创富能力、实现了收入增长。从农村产业融合发展实践看,反向定制带动了农业产业化模式创新,产业链耦合促进了技术加速扩散,混合经营推动了农村集体经济组织的激活再造,这些新变量和新变化从不同方面、以不同的形式对农民增收致富带来影响。然而,目前我国农村产业融合的整体层次和水平还不高,对农民富裕的促进作用发挥还不够充分,主要原因是生产要素跨界配置面临制度性障碍、农村市场存在功能性缺陷、政府有效激励和规制缺位以及基础服务体系不健全。应加快突破制度障碍、健全市场功能、强化利益分配、夯实基础支撑,促进农村产业深度融合,强化兴农富民带动效应。     

汉英词典100核心词义项分布研究

在认定《现汉》《牛津》《韦氏》等汉英词典是同类词典的基础上，对这些词典中100核心词的义项数目及其分布进行简要对比，发现与《牛津》《韦氏》等英语词典相比，《现汉》等汉语词典在核心词的义项划分方面比较粗疏。     

A Symposium on Unemployment Statistics

Separate Poisson distributions were evaluated via several hypotheses tests for each of the 16 teams in the National Hockey League using 1973–74 goals for and goals against both home and away. After examining independence of goals for and goals against, they in turn were used to explain order of finish for the 16 teams. The results were quite surprising.     

Nonnormality of Linear Combinations of Normal Random Variables

Hamedani and Tata (1975) showed that the bivariate normal distribution is determined uniquely by any countably infinite collection of distinct linear combinations of the variables and by no finite number of them. It is shown here that this characterization of bivariate normal distribution cannot be extended to the multivariate case. More specifically, it is shown that the multivariate normality of subsets (r < n) of the normal variables X ₁, X ₂, …, X_n together with the normality of an infinite number of linear combinations of them do not guarantee the joint normality of these variables.     

C472. The expected value of a conditional variance: An upper bound

The article derives Bartlett corrections for improving the chi-square approximation to the likelihood ratio statistics in a class of symmetric nonlinear regression models. This is a wide class of models which encompasses the t model and several other symmetric distributions with longer-than normal tails. In this paper we present, in matrix notation, Bartlett corrections to likelihood ratio statistics in nonlinear regression models with errors that follow a symmetric distribution. We generalize the results obtained by Ferrari, S. L. P. and Arellano-Valle, R. B. (1996). Modified likelihood ratio and score tests in linear regression models using the t distribution. Braz. J. Prob. Statist., 10, 15–33, who considered a t distribution for the errors, and by Ferrari, S. L. P. and Uribe-Opazo, M. A. (2001). Corrected likelihood ratio tests in a class of symmetric linear regression models. Braz. J. Prob. Statist., 15, 49–67, who considered a symmetric linear regression model. The formulae derived are simple enough to be used analytically to obtain several Bartlett corrections in a variety of important models. We also present simulation results comparing the sizes and powers of the usual likelihood ratio tests and their Bartlett corrected versions.