James - stein regression estimation in a prediction context

Two types of shrunken estimators of regression coefficients are studied in the context of stochastic predictor variables. Emphasis is placed on the choice of the shrinkage parameters, using a ‘deleted-observation’ concept which is motivated by predictive ability.     

Exponential Inequalities in Stochastic Inverse Problems Using an Iterative Method

We consider an iterative method in order to solve linear inverse problems. We establish exponential inequalities for the probability of the distance between the approximated solution and the exact one for a calibration problem. The approximate is given by an iterative method with Gaussian errors. We treat an operator equation of the form Ax = u, where A is a compact operator.     

Bootstrap method in ranking and slippage problems

In this paper, the bootstrap method of Efron (1979) is given for a ranking and a slippage problem, where the ranking (or slippage) is with respect to the mean of the distributions. The method is also applied to obtain a confidence interval for the largest mean.     

地下空间的软导向识别及主要设计策略

针对软导向设计具有改善用户在特定导向任务中的寻路效率和效果的假设,利用意向尺度法对包含软导向设计的空间和不包含软导向设计的空间进行对比调研。结果证明,软导向设计可以明显提升导识效率,并发现随着用户对空间熟悉程度的增加,一些地标性差异物可以成为用户稳定可靠的定位要素,从而对常规标识系统的依赖度逐渐下降。由此提出应通过色彩和光影变化、立体造型与显著空间标志物的设置、平面造型的图案规划与差异、材料和肌理以及装饰强度的对比等措施完成空间中的软导向设计。并认为软导向设计前期需要在充分调研的基础之上开展,在设计过程中不但要节制规范的使用软导向要素,还应与空间主题语境相呼应。     

英语词汇学习的误区及方法研究

词汇学习是英语学习过程中的重要环节。通过对英语教学的分析研究,概括出了学生词汇学习的三大误区,并从转变思维模式、归类记忆、联想记忆等三方面提出了学习词汇的方法。     

论民族素质能量的积聚途径和方式--民族素质研究之四

本文利用丰富的资料,从教育、研究与开发、知识产权保护、开放度等四个方面,对民族素质能量积聚的途径、方式进行了开拓性的研究.     

试论马林诺夫斯基的性人类学研究

性人类学主要针对部落社会以及其他技术不发达的非西方文化中的性实践进行系统的描述和分析 ,关注的主要是生物的、心理的因素和产生性爱冲动、性吸引以及某种特定性行为的文化因素之间的互动关系。马林诺夫斯基是性人类学研究的第一位大师 ,他对异域社会性实践的田野考察建构了一种文化差异 ,为的是让人们找到反省本土文化的机会 ,从而做出建设性的自我批评并抛弃掉那些既武断又矛盾的陈旧观念     

多层面引导宗教与社会主义社会相适应的途径

本文从不同层面探讨了宗教与社会主义社会相适应的途径,分析了正确对待宗教工作的方法和态度,着重论述了新时期应该突出宗教的伦理和文化功能的观点,从制度支持、信仰者个体自我约束与政府的管理相互促进、以保证信教者与不信教者拥有平等的地位等方面探讨了宗教与社会主义社会相适应的条件及途径。     

Benefits of Hybrid Lateral Transshipments in Multi‐Item Inventory Systems under Periodic Replenishment

Lateral transshipments are a method of responding to shortages of stock in a network of inventory‐holding locations. Conventional reactive approaches only seek to meet immediate shortages. The study proposes hybrid transshipments which exploit economies of scale by moving additional stock between locations to prevent future shortages in addition to meeting immediate ones. The setting considered is motivated by retailers who operate networks of outlets supplying car parts via a system of periodic replenishment. It is novel in allowing non‐stationary stochastic demand and general patterns of dependence between multiple item types. The generality of our work makes it widely applicable. We develop an easy‐to‐compute quasi‐myopic heuristic for determining how hybrid transshipments should be made. We obtain simple characterizations of the heuristic and demonstrate its strong cost performance in both small and large networks in an extensive numerical study.     

Inventory‐Based Dynamic Pricing with Costly Price Adjustment

We study an average‐cost stochastic inventory control problem in which the firm can replenish inventory and adjust the price at anytime. We establish the optimality to change the price from low to high in each replenishment cycle as inventory is depleted. With costly price adjustment, scale economies of inventory replenishment are reflected in the cycle time instead of lot size—An increased fixed ordering cost leads to an extended replenishment cycle but does not necessarily increase the order quantity. A reduced marginal cost of ordering calls for an increased order quantity, as well as speeding up product selling within a cycle. We derive useful properties of the profit function that allows for reducing computational complexity of the problem. For systems requiring short replenishment cycles, the optimal solution can be easily computed by applying these properties. For systems requiring long replenishment cycles, we further consider a relaxed problem that is computational tractable. Under this relaxation, the sum of fixed ordering cost and price adjustment cost is equal to (greater than, less than) the total inventory holding cost within a replenishment cycle when the inventory holding cost is linear (convex, concave) in the stock level. Moreover, under the optimal solution, the time‐average profit is the same across all price segments when the inventory holding cost is accounted properly. Through a numerical study, we demonstrate that inventory‐based dynamic pricing can lead to significant profit improvement compared with static pricing and limited price adjustment can yield a benefit that is close to unlimited price adjustment. To be able to enjoy the benefit of dynamic pricing, however, it is important to appropriately choose inventory levels at which the price is revised.