面板数据的有序聚类分析及其应用——以全球气候变化聚类分析为例

面板数据的有序聚类分析是多元统计分析的新兴研究领域。借鉴多元统计学中主成分分析方法对面板数据在时间变量上进行降维处理,把变异信息的损失降低到最小,较为准确地反映了样本在各时间段内的整体变化水平;采用费希尔最优求解算法对主成分得分进行有序聚类,为研究有序面板数据的亲疏关系提供一些思路;对全球气候变化进行聚类分析,分析五十年来全球及区域气候变化特点,与国外研究结论对比,显示出良好的应用性。     

我国统计部门科研工作的现状与发展

本文总结了近两年我国统计部门科研工作的主要成果和特点,提出统计科研工作要积极面向和服务于统计中心工作,并明确了今后一段时期统计科研工作的主要任务。     

Teaching statistics to clinical research staff in a pharmaceutical company

Education of clinical research staff in understanding statistical concepts is an area of importance for pharmaceutical companies. This understanding is needed to help them communicate with statisticians using a common language, in designing clinical trials and interpretation of clinical trial results. Such staff has little time for a one-semester or even a one-week continuing education course in statistics. Faced with this reality, we developed a 3-module course,for a total of 1.5 days, which was taught over a period of one month that addresses the needs of this audience. We describe the format and content of the course and provide references that can serve as a resource for teaching such a course.     

《统计研究》之统计研究——《统计研究》创刊三十周年回眸和展望

《统计研究》作为我国统计学界的权威学术刊物,自创刊之日起,一直不遗余力地促进着统计学科的发展,为统计科学的研究和交流提供了良好的平台,记录了经济统计和数理统计研究的发展轨迹,记载了统计学科成长、发展和壮大的历史,造就了一大批统计学术精英。30年来,《统计研究》共刊载文章4640篇,涉及统计学研究的各个领域,加快了与其他学科的融合,参与成果发表的作者单位遍布国内外,提升了《统计研究》的国际影响力;《统计研究》各项期刊科学指标发展态势良好,其质量和影响力在统计类刊物中一路领先,在经济类权威刊物中,也在起步较晚的情况下稳步发展,取得了长足的进步,在权威刊物中占据一席之地。《统计研究》应乘势而上,借助统计学成为一级学科之势,将其建成国家一级期刊。     

A survey of statistical methods on remote sensing in russian literature from 1976 to 1985

In this article we review the major areas of remote sensing in the Russian literature for the period 1976 to 1985 that use statistical methods to analyze the observed data. For each of the areas, the problems that have been studied and the statistical techniques that have been used are briefly described     

国外统计科学研究现状评介

The paper introduces and evaluates features of statistical research work abroad from research personnel, research institution and research contents and results as well as research trend; from the hot issues discussed in statistical conference abroad and the treatises published; and also from the motive force as well as the trend of statistical research..     

Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science

ABSTRACT

Scientific research of all kinds should be guided by statistical thinking: in the design and conduct of the study, in the disciplined exploration and enlightened display of the data, and to avoid statistical pitfalls in the interpretation of the results. However, formal, probability-based statistical inference should play no role in most scientific research, which is inherently exploratory, requiring flexible methods of analysis that inherently risk overfitting. The nature of exploratory work is that data are used to help guide model choice, and under these circumstances, uncertainty cannot be precisely quantified, because of the inevitable model selection bias that results. To be valid, statistical inference should be restricted to situations where the study design and analysis plan are specified prior to data collection. Exploratory data analysis provides the flexibility needed for most other situations, including statistical methods that are regularized, robust, or nonparametric. Of course, no individual statistical analysis should be considered sufficient to establish scientific validity: research requires many sets of data along many lines of evidence, with a watchfulness for systematic error. Replicating and predicting findings in new data and new settings is a stronger way of validating claims than blessing results from an isolated study with statistical inferences.     

季节调整与环比增长率测算最新进展及比较

国家统计局从2011年4月对外公布经季节调整的包括GDP的四项统计指标的环比数据,这标志着季节调整和环比增长率测算在我国统计工作实践中已经起步.本文从季节调整的理论研究和实践两个方面对各种季节调整模型、国内外理论研究和各国统计工作实践的差异进行比较分析,发现国内外在研究基础、理论和应用研究比例、研究模型的广度和基础理论研究等理论研究方面以及季节调整的指标范围、环比增长率测算、数据的公布等实际工作方面均存在较大差异.这对我国进一步完善季节调整模型和软件,不断提高环比统计数据质量,以及逐步建立月、季度统计调查制度具有重要意义.     

根植统计工作实践，促进统计事业发展 ——新中国政府统计科研工作60年回顾

 60年前,国家统计局的正式成立,标志着新中国政府统计机构正式建成运转。回首60年的历程,统计事业的兴衰与祖国命运紧密联系在一起;而统计科研工作作为整个统计事业的重要组成部分,也在曲折与挑战中不断发展和完善。本文从机构人员、科研活动、科研管理、学会建设和学术期刊等五个方面对政府统计科研工作进行了全面的回顾和梳理。今后统计科研工作仍将致力于统计科学的研究与实践,围绕国家统计局中心工作的同时,充分发挥中国统计学会的桥梁、纽带作用,利用杂志等学术平台,不断加强对全国统计科研工作的组织和管理,为我国统计事业的发展发挥重要作用。     

Biases and Uncertainty in Climate Projections

Abstract. We study statistical procedures to quantify uncertainty in multivariate climate projections based on several deterministic climate models. We introduce two different assumptions – called constant bias and constant relation respectively – for extrapolating the substantial additive and multiplicative biases present during the control period to the scenario period. There are also strong indications that the biases in the scenario period are different from the extrapolations from the control period. Including such changes in the statistical models leads to an identifiability problem that we solve in a frequentist analysis using a zero sum side condition and in a Bayesian analysis using informative priors. The Bayesian analysis provides estimates of the uncertainty in the parameter estimates and takes this uncertainty into account for the predictive distributions. We illustrate the method by analysing projections of seasonal temperature and precipitation in the Alpine region from five regional climate models in the PRUDENCE project.     

统计执法的博弈分析

针对目前中国统计数据失真相当严重并引起社会各界普遍关注的现象，运用博弈论作为分析工具，引入重复博弈研究了统计执法中数据报方与查方的利益冲突关系，从统计执法的角度揭示了统计数据失真的主要原因，并提出了相应的五项对策。     

分享经济核算需要厘清的几个基本问题

分享经济作为一种新兴经济,社会各界对其认知存在显著差异,导致有关核算研究及统计实践面临诸如定义、生产范围界定、统计分类、估价和增加值估算等问题。为此,本文立足于理论与实 践的角度,结合各方面研究归纳出分享经济的本质,一种有偿暂时性让渡闲置资源使用权的市场性分享 活动,这种活动在互联网通信技术,尤其是分享平台的助力下,进入了规模化发展阶段。同时,利用SNA的生产观点归纳出分享经济的生产与产出统计范围,并对相关统计分类方法和标准进行了探讨。最后,针对分享经济估价问题提出了有关估算方法。 本文的创新在于提出了分享经济活动的理论边界,明确了分享经济核算研究的主体及统计范围,有助于解决统计实践中产品与行业活动“统不进、分不开”的问题,为完善“三新”统计制度提供了参考依据。     

得失与启示：我国统计学博士学位论文选题统计分析

 统计学博士是统计科研的中坚力量之一,其博士论文在一定程度上反映了当时我国统计学科研的热点和前沿,代表着我国统计教育的先进水平。本文通过对1987-2009年509篇统计学博士学位论文的选题及其研究内容进行统计,分析其变动规律和特点,总结选题的得失与启示,为今后科学选题以及进一步深入开展统计学术研究提供参考依据。     

属性数据的多变量对应分析模型及应用

属性数据的建模和分析是市场研究活动中最重要的一类应用问题,学术界和市场研究行业一般使用列联表及统计检验的方法进行分析。故将法国统计学家J.P.Beozecri提出的对应分析法导入市场研究实证过程,使问卷调查中常见的多变量属性数据分析建模过程呈现出稳健的统计结论和直观的二维图示,并推广到广义多变量对应分析场合,其结论可靠,有应用创新。     

宏观统计数据质量评估的研究范畴与基本范式

 内容提要：不断推进宏观统计数据质量评估研究的体系化和规范化,是该领域学术价值存续和有效信息揭示的必由出路。本文旨在解决其中的两方面关键问题：一是界定宏观统计数据质量评估的研究范畴,藉此明晰数据质量评估研究的概念结构、方法原理、理论基础和功能边界;二是探讨对各种宏观统计数据质量评估方法的适用性进行检验的可行方法,以确保评估研究可以给出较为可靠的结论。进而明确宏观统计数据质量评估研究的基本范式,探讨研究中应遵循的一系列操作规则。     

The need for research into the effectiveness of international statistical systems and standards

Conclusion In this brief and highly selective examination of the adequacy of ISSS, it is suggested that statistical and economic research is essential if we are to ensure that these systems are fit for their intended purposes. It is too readily assumed that the statistical infrastructure is either adequate or, if not, of little significance in dealing with the major problems faced by the world today. This is far from being so and, if the necessary research were carried out, the results could make an invaluable contribution to resolving many of those problems.     

Statistics development: statistical methods meeting the user’s needs

Statistical methods have the potential of being effectively used by industrial practitioners if they satisfied two criteria: functionality and usability. Statistical methods are usually the product of statistical research activities of universities and other research organizations. Some already satisfy these criteria; however, many do not. The effect is that potentially relevant methods are not used in practice as often as they could be. In this paper we will present an approach regarding ‘statistics development,’ in which the end-user is given a central position, so that the results from statistical research aim to meet the needs and requirements of the practitioner. Examples of known and new methods will be presented, and we will discuss issues such as education in statistics, the link with statistical consultancy and publication of methods through various channels.     

抓住机遇 迎接挑战 进一步发展我国统计科学研究事业

全国统计科研工作会议迄今为止召开了五次,其中两次特别重要,即广州会议和北京平谷会议。广州会议解决了全国统计科研网络问题,各省、自治区、直辖市统计科研机构得到了强化,在全国范围内有了科研组织上的保证。北京平谷会议提出了跨世纪的统计科学研究发展纲要和加强...     

A review of cancer screening evaluation techniques, with some particular examples in breast cancer screening

Summary.  The instigation of mass screening for breast cancer has, over the last three decades, raised various statistical issues and led to the development of new statistical approaches. Initially, the design of screening trials was the main focus of research but, as the evidence in favour of population-based screening programmes mounts, a variety of other applications have also been identified. These include administrative and quality control tasks, for monitoring routine screening services, as well as epidemiological modelling of incidence and mortality. We review the commonly used methods of cancer screening evaluation, highlight some current issues in breast screening and, using examples from randomized trials and established screening programmes, illustrate the role that statistical science has played in the development of clinical research in this field.     

基于SAM的宏观统计数据质量评估方法研究

数据质量评估是统计数据质量管理的重要环节。从SAM核算框架入手,提出了宏观统计数据质量的评估方法,主要包括等量核算指标体系评估方法、账户平衡指标体系评估方法及"问题型"评估方法,以期从SAM的角度为宏观统计数据质量的甄别和提高提供一种研究方法。