论股份合作制对农村土地流转的现实意义

股份合作制对农村土地流转的现实意义有四个方面:一是有助于完善农民的土地产权制度;二是有助于实现农村经济的产业化;三是有助于农民实现规模经济;四是有助于建立和完善农村的新组织。     

构建保险分支机构内控制度的对策研究

保险分支机构内控制度是保险监管和保险业风险管理的重要微观基础,当前我国保险分支机构内部控制制度建设普遍滞后于保险行业的发展,落后于保险监管和行业风险管理要求,存在一系列突出矛盾和问题。为此,一要强化分支机构改革和完善内控的内部动力,严格执行监管部门制定的制度建设指引;二要通过保险公司、监管机构、行业协会及其他相关部门给分支机构施加更强的外部压力,二者共同作用以进一步促进保险分支机构加快完善内控制度,提高保险分支机构及其所属公司管理和防范经营风险的能力,最终达到夯实保险业风险管理基础的根本目标。     

A SIMULATION ANALYSIS OF THE JAPANESE JUST-IN-TIME TECHNIQUE (WITH KANBANS) FOR A MULTILINE,MULTISTAGE PRODUCTION SYSTEM

The Japanese “just-in-time with kanban” technique reduces in-process inventory to absolute minimal levels, in concert with the Japanese belief that inventory is an unnecessary evil. Due to the success of Japanese firms that employ this type of system, American firms would like to import this technique and emulate Japanese successes. But this Japanese success may be attributable not only to the just-in-time with kanban technique but also to the production environment in which the technique is employed. This paper simulates the just-in-time with kanban technique for a multiline, multistage production system in order to determine its adaptability to an American production environment that might include such characteristics as variable processing times, variable master production scheduling, and imbalances between production stages. The results have practical implications for those firms considering adoption of the Japanese technique.     

先秦兵家军事立法理念初探

兵家军事立法理念兼具理想性和现实性,既讲求战争和法律的正义性与合人心性,也研究作战指导、治军方案的可行性与可操作性。兵家对治军中的“礼”与“法”的相互关系已有清醒的认识,并积极提倡和重视教化与刑罚的结合,即“令之以文,齐之以武”。在兵家看来,“礼”的要求也是“法的内容”,“礼”与“法”各有所用,只有礼、法并用,才能治理好军队。     

从区域文化角度比较唐浩明与二月河历史小说的差异

唐浩明、二月河是当代历史小说创作的两位突出代表,理论界对两者历史小说的批评一般停留在历史真实与艺术真实的结合和雅俗定位上,缺乏针对性。笔者认为唐浩明、二月河的创作都受到区域文化的影响,湖湘文化的"经世致用"与河东风土的"重实轻名",是使唐浩明与二月河的文学作品在创作动机、艺术品位等方面产生差异的重要原因。     

黑车子室韦问题重考──以《会昌一品集》与敦煌藏语文书为据

本文主要利用了《会昌一品集》和敦煌藏语文书中的史料,重新考证了黑车子的族源和早期活动地点等问题。作者反复论证了“黑车子出自室韦”学说的不可信,并得出了黑车子早先活动于蒙古高原以北的结论。     

浅论新时期师专图书馆的建设与管理

随着新世纪的即将来临,高校图书馆正在加快自动化,网络化的建设步伐,向着电子化、 信息化的现代图书馆迈进。师专图书馆必须抓住机遇,以实现从传统管理向现代化管理的转变,这是 师专图书馆改革发展的必由之路。     

Characterizations based on conditional expectations

For given real functionsg andh, first we give necessary and sufficient conditions such that there exists a random variableX satisfying thatE(g(X)|X≥y)=h(y)r _x (y),∀y ∈ C _x , whereC _x andT _X are the support and the failure rate function ofX, respectively. These extend the results of Ruiz and Navarro (1994) and Ghitany et al. (1995). Next we investigate necessary and sufficient conditions such thath(y)=E(g(X)|X≥y), for a given functionh. Support for this research was provided in part by the National Science Council of the Republic of China, Grant No. NSC 86-2115-M-110-014 and NSC 88-2118-M-110-001     

The nested joint clustering via Dirichlet process mixture model

This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both the common and unique patterns are taken into account simultaneously. Furthermore, by jointly clustering subjects and the associated variables, the intrinsic complex shared patterns among subjects and among variables are expected to be captured. The number of clusters and cluster assignments are directly inferred with the use of DP. Simulation studies illustrate the effectiveness of the proposed method. An application to wheal size data is discussed with an aim of identifying novel temporal patterns among allergens within subject clusters.     

Quantile regression for large-scale data via sparse exponential transform method

In recent decades, quantile regression has received much more attention from academics and practitioners. However, most of existing computational algorithms are only effective for small or moderate size problems. They cannot solve quantile regression with large-scale data reliably and efficiently. To this end, we propose a new algorithm to implement quantile regression on large-scale data using the sparse exponential transform (SET) method. This algorithm mainly constructs a well-conditioned basis and a sampling matrix to reduce the number of observations. It then solves a quantile regression problem on this reduced matrix and obtains an approximate solution. Through simulation studies and empirical analysis of a 5% sample of the US 2000 Census data, we demonstrate efficiency of the SET-based algorithm. Numerical results indicate that our new algorithm is effective in terms of computation time and performs well for large-scale quantile regression.