甘肃定西马铃薯产业链物流分析

甘肃马铃薯产业的产业链纵向和横向发展都不够完善，而物流是产业链中一个重要的子集，如何发展物流产业，是一个重要的问题。本文分析了目前甘肃定西的物流体系，指出了其中存在的一些问题和认识上的误区，提出了几种整合产业链的思路。     

高职任务驱动式教学改革实践初探

高等职业教育的改革对传统课堂面授知识的教学模式提出了挑战，高等职业教育应打破传统的单一课堂教学模式，把课堂搬到企业中，针对企业的需求进行教学与实践，以“企业的需求”为任务驱动教与学，并贯穿于教学的全过程。     

连锁超市替代农贸市场的对策研究

超市作为一种新型零售业态,在我国已经颇具规模,以连锁超市替代农贸市场已成为可能。本文通过连锁超市与农贸市场的比较,分析了连锁超市具有的优势及替代过程的障碍,提出了连锁超市替代农贸市场的对策。     

《 转运汉巧遇洞庭红》的商业解读

凌濛初<转运汉巧遇洞庭红>通过对金老汉藏财失财和文若虚随人出海,两次巧遇发财机会陡然暴富故事的描写,反映了明代中叶以后商业发展的具体场景,反映了关于相互需求的贸易原理和资本增殖的思想.通过文若虚形象的塑造,反映了作者经商和为人相统一的思想.从故事可知,明中叶后商业发展已经有了一定的规模和规范,但也还有一些不利于商业贸易更大发展的因素,如储运和金融手段的滞后等.     

价值链理论在跨国经营中的应用

本文剖析了价值链的特点及其变化趋势,阐明了在跨国经营中如何应用价值链理论。旨在为提高我国企业的国际经济竞争力提供参考。     

基于信任的供应链治理机制研究

针对供应链的治理难题,提出信任具有决策、协调、约束和简化等功能,信任机制是非垂直管理体系特别是供应链的理想治理工具,由此建构了多层次的供应链信任治理结构体系。     

公共产品供给机制创新及其法律规制

供给机制不完善是造成公共产品供求矛盾的一个根本原因。现行单向的决策机制、一元的供给主体和垄断性供给方式带来诸多弊端。创新供给机制,建立自下而上多利益中心决策机制、建立包括政府、市场和第三部门在内的多元化供给主体机制和供给方式。法律规制中应赋予不同利益组织参与决策权,主体间供给责任分配。规制法律既有公法还包括私法,并遵循双重利益平衡和充分竞争原则。     

On an adaptive version of the Metropolis–Hastings algorithm with independent proposal distribution

In this paper, we present a general formulation of an algorithm, the adaptive independent chain (AIC), that was introduced in a special context in Gåsemyr et al . [ Methodol. Comput. Appl. Probab. 3 (2001)]. The algorithm aims at producing samples from a specific target distribution Π, and is an adaptive, non-Markovian version of the Metropolis–Hastings independent chain. A certain parametric class of possible proposal distributions is fixed, and the parameters of the proposal distribution are updated periodically on the basis of the recent history of the chain, thereby obtaining proposals that get ever closer to Π. We show that under certain conditions, the algorithm produces an exact sample from Π in a finite number of iterations, and hence that it converges to Π. We also present another adaptive algorithm, the componentwise adaptive independent chain (CAIC), which may be an alternative in particular in high dimensions. The CAIC may be regarded as an adaptive approximation to the Gibbs sampler updating parametric approximations to the conditionals of Π.     

A bayesian estimator for the dependence function of a bivariate extreme‐value distribution

Any continuous bivariate distribution can be expressed in terms of its margins and a unique copula. In the case of extreme‐value distributions, the copula is characterized by a dependence function while each margin depends on three parameters. The authors propose a Bayesian approach for the simultaneous estimation of the dependence function and the parameters defining the margins. They describe a nonparametric model for the dependence function and a reversible jump Markov chain Monte Carlo algorithm for the computation of the Bayesian estimator. They show through simulations that their estimator has a smaller mean integrated squared error than classical nonparametric estimators, especially in small samples. They illustrate their approach on a hydrological data set.     

A Non-parametric Frailty Model for Temporally Clustered Multivariate Failure Times

Abstract A model is introduced here for multivariate failure time data arising from heterogenous populations. In particular, we consider a situation in which the failure times of individual subjects are often temporally clustered, so that many failures occur during a relatively short age interval. The clustering is modelled by assuming that the subjects can be divided into ‘internally homogenous’ latent classes, each such class being then described by a time‐dependent frailty profile function. As an example, we reanalysed the dental caries data presented earlier in Härkänen et al. [Scand. J. Statist. 27 (2000) 577], as it turned out that our earlier model could not adequately describe the observed clustering.