统计工作在医院数字化建设中的职能转变

医院数字化建设带来全新的医院管理模式。文章对数字化医院统计工作面临的职能转变问题进行探讨,提出统计工作职能转变的具体内容和方向。     

广义进化,走向生态文明

本文受广义进化论观点启发。主张要走向生态文明。必须超越人类中心主义和民族中心主义的思想行为局限，以生态整体观善待自然。努力寻找解决当今全球生态问题的途径和避免灾变的办法。以期全面和谐的世界图景早日到来。     

Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

质量成本核算中的几个问题

本文主要对网络统计的特点以及发展前景进行了分析 ,并构想在网络环境下如何开展统计工作。     

旅游市场秩序刍论

随着我国旅游业的迅速发展，旅游市场出现了不利于我国旅游业健康发展的现明，诸如利用行政权力乱收费，假冒、低于成本价格倾销等，坚决取缔和严厉制止这些不利于我国旅游业健康发展的行为，整顿和规范旅游市场秩序是保障旅游经营利益，维护旅游权益的必然要求。     

Inventory model for an inventory system with time-varying demand rate

The standard inventory problems of the multi-period have been modeled under different situations. Specifically we have considered the demand subjects of a continuous distribution and a discrete distribution, and whether the demand of each period is unchanged or not. A method to get an economic order quantity in inventory systems with discrete and unchanged demand was presented in a previous paper, and this method has been generalized to an inventory model with varying continuous demand. However, it was not achieved due to there being many classified cases in the general situations. In this article the above method is discussed in the case discrete demand to determine whether it increases or decreases from period to period. A theoretical method is presented by using previous results and some examples are given which suggest how the concept can handle on inventory system. In order to make the decision, an algorithm is also presented under some conditions, and examples are shown by using the computer software program, Mathematica, which helps to explain the findings. In general cases, we view the optimal policy in the inventory problems in only a few periods.     

论虚拟经营对现代服务业发展的影响——兼论在虚拟经营模式下现代服务业统计的调整

大力发展现代服务业,尤其是生产性服务业,是建设我国新型工业化的必由之路。企业虚拟化经营的广泛实施,加速了许多具有服务属性的运行功能从企业,尤其是制造型企业中的分离,同时以运行功能为对象的社会分工与合作又要求这些分离出来的运行功能以独立企业的形式与实施虚拟化经营的企业进行功能互补,从而加速和扩大了现代服务业的发展。同时企业虚拟化经营对现代服务业的统计也产生了诸多影响。     

基于模糊理论的汽车冷凝器PFMEA改进

为了解决传统PFMEA中RPN分析存在的分辨率和准确性不高的问题,提出一种利用权重赋予法和模糊分析的综合评价方法。通过引入专家组构建评价指标的判断矩阵,基于一致性检验及算术平均法计算得到各评价指标的权重,以提高RPN的分辨率;综合考虑评价指标权重集对指标的模糊评价矩阵的影响,赋予专家组的模糊评价矩阵不同的权重,以量化不确定的主观判断因素。研究结果表明:在汽车空调冷凝器制造PFMEA中出现工序RPN值相同和其风险顺序不能反映实际情况的问题时,该综合评价方法能够对工序风险程度进行正确排序,加强了PFMEA对风险控制和预判的作用。     

Fixed Effects and Random Effects Estimation of Higher-order Spatial Autoregressive Models with Spatial Autoregressive and Heteroscedastic Disturbances

Abstract

This paper develops a unified framework for fixed effects (FE) and random effects (RE) estimation of higher-order spatial autoregressive panel data models with spatial autoregressive disturbances and heteroscedasticity of unknown form in the idiosyncratic error component. We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM) estimation procedure of the spatial autoregressive parameters of the disturbance process and define both an RE and an FE spatial generalized two-stage least squares estimator for the regression parameters of the model. We prove consistency of the proposed estimators and derive their joint asymptotic distribution, which is robust to heteroscedasticity of unknown form in the idiosyncratic error component. Finally, we derive a robust Hausman test of the spatial random against the spatial FE model.