Confidence intervals,significance values,maximum likelihood estimates,etc. sharpened into Occam’s razors

Abstract

Confidence sets, p values, maximum likelihood estimates, and other results of non-Bayesian statistical methods may be adjusted to favor sampling distributions that are simple compared to others in the parametric family. The adjustments are derived from a prior likelihood function previously used to adjust posterior distributions.     

对目前我国私营企业主阶层的思考

如何促进私营经济持续稳定健康发展、引导私营企业主阶层成为坚定的社会主义事业的建设者是当前乃至今后一个较长时期内我国社会政治生活中的一个重大课题。为此一要充分认识私营经济和私营企业主阶层存在的长期性 ,采取切实有效的措施谋划私营经济的新发展 ;二要充分认识私营企业主阶层的特殊性 ,正确把握评价私营企业主政治上进步与否的判断标准 ;三要充分认识私营企业主阶层的复杂性 ,坚持德治与法治相结合 ,使其成为坚定的社会主义事业的建设者。     

插入排序法研究(1)

讨论了两种二路插入排序的方法，给出了算法思想，分析了这些方法的时间复杂度，其平均时间复杂度比直接插入排序法降低了1/2-1/2，说明这些排序方法比直接插入排序法具有较高的排序效率。     

On the difficulty of making social choices

The difficulty of making social choices seems to take on two forms: one that is related to both preferences and the method used in aggregating them and one which is related to the preferences only. In the former type the difficulty has to do with the discrepancies of outcomes resulting from various preference aggregation methods and the computation of winners in elections. Some approaches and results which take their motivation from the computability theory are discussed. The latter institution-free type of difficulty pertains to solution theory of the voting games. We discuss the relationships between various solution concepts, e.g. uncovered set, Banks set, Copeland winners. Finally rough sets are utilized in an effort to measure the difficulty of making social choices.     

Cybernetic Risk Analysis

The Pearl Harbor case study reveals that risk analysis failure may be caused by any of a number of factors. However, the most important variables are system load, gain, lead time, and lag time. The dynamics of such cybernetic systems analysis constitute an important aspect in this regard. Four different risk management strategies, or organization designs, have been proposed in this paper. Each has a unique combination of the imputed variables and each has a unique cause of surprise, risk analysis failure, and crisis.     

Contingent constellations: African urban complexity seen through the workings of a Ghanaian bus station

In this article, I explore the intricate relationship between regulation and contingency in processes of urban economic organisation by focusing on the workings of a central bus station in Accra, Ghana. After introducing the position of the station in Ghana’s urban economy and transport infrastructure, I set out its internal regulative arrangements in relation to larger socio-economic and political constellations the practices of the station workers are contingent upon. Next, I turn the analysis around and describe the ways in which people accommodate themselves within, exploit and thereby co-produce emergent contingencies. The focus on the station, I suggest, offers a window into the complex constituents of niche economic practices that prevail in many spheres of African cities and allows a nuanced reflection on the incongruous and undetermined dynamics of everyday urban ‘becomings.’     

复杂性科学视角下企业成长研究梳理与启示

作为研究和处理复杂系统和行为的工具，复杂性科学为企业成长研究提供了新的起点。从复杂性科学的背景出发，总结了目前企业成长研究的基本共识、内容体系，并为企业管理与决策实践提供指导。     

复杂性科学与高等工程教育的融合

通过对重庆某高校422名工科学生的问卷调查和 SPSS 数据统计分析,探讨了复杂性科学与当前高等工程教育融合的程度以及学生的期望程度,对比了美国和澳大利亚的相关研究结果。研究发现：我国的工程教育在数学、物理和工程方面学生有良好的基础,但科学、技术和人文素质教育还比较薄弱;在跨学科教育和新兴科技知识方面还有明显的欠缺;工科学生有一定的问题解决技能和学习策略,但核心能力培养还有待加强;学生已初步认识到复杂性科学与工程教育融合的重要性和必要性。因此,有必要借鉴复杂性科学的理念与方法,全面改革传统的工程教育模式与课程体系,以主动适应复杂多变的世界。     

Studying Complexity of Model-based Clustering

Cluster analysis is a popular statistics and computer science technique commonly used in various areas of research. In this article, we investigate factors that can influence clustering performance in the model-based clustering framework. The four factors considered are the level of overlap, number of clusters, number of dimensions, and sample size. Through a comprehensive simulation study, we investigate model-based clustering in different settings. As a measure of clustering performance, we employ three popular classification indices capable of reflecting the degree of agreement in two partitioning vectors, thus making the comparison between the true and estimated classification vectors possible. In addition to studying clustering complexity, the performance of the three classification measures is evaluated.     

The need for knowledge modification in technology change: a framework to consider changes in domain complexity,knowledge and productivity

This paper researches productivity in relation to domain complexity and the present knowledge capacity in an organisational context. The study is based on five very different case studies. Three studies are conducted in Denmark, Germany, Mexico and China and are related to knowledge transfer in the relocation of manufacturing facilities. Two studies investigate operation and automation of oil and gas production in the North Sea. The case study method involves semi-structured interviews, surveys, an analysis of historical production data and observations. Based on the findings from the field studies, the paper develops a conceptual framework that management can use for discussions of productivity, development of knowledge and design of learning programmes when considering changes in the complexity of a domain or a change in knowledge.