Robust testing with generalized partial linear models for longitudinal data

By approximating the nonparametric component using a regression spline in generalized partial linear models (GPLM), robust generalized estimating equations (GEE), involving bounded score function and leverage-based weighting function, can be used to estimate the regression parameters in GPLM robustly for longitudinal data or clustered data. In this paper, score test statistics are proposed for testing the regression parameters with robustness, and their asymptotic distributions under the null hypothesis and a class of local alternative hypotheses are studied. The proposed score tests reply on the estimation of a smaller model without the testing parameters involved, and perform well in the simulation studies and real data analysis conducted in this paper.     

对股市泡沫成因的博弈分析

股票市场泡沫是经济活动过程中存在的必然产物。本文将运用博弈论的观点来解释股市泡沫的成因。     

基于知识视角的制造企业与生产服务组织共生关系分析

生产服务对制造企业竞争能力的提升具有重要影响,二者之间的互动关系日益受到关注.鉴于生产性服务业的知识密集属性.将企业知识理论和共生理论融合起来.指出二者共生关系的本质是知识共生,进一步分析了二者共生的三个维度即互动学习共生、权益安排共生、关系资本共生.     

从读者反应理论看朱生豪、梁实秋的莎译本中文化空缺词的翻译

读者接受理论为文学翻译提供了一个更为开放的视角,值得重视和借鉴。然而,如果全盘接受读者接受理论的观点,把文学翻译仅仅看作一种译者主体行为,势必会导致不准确的翻译。读者对于文化空缺词的接受能力是一个历史的动态变化过程。     

Quantifying uncertainty in the biospheric carbon flux for England and Wales

Summary.  A crucial issue in the current global warming debate is the effect of vegetation and soils on carbon dioxide (CO₂) concentrations in the atmosphere. Vegetation can extract CO₂ through photosynthesis, but respiration, decay of soil organic matter and disturbance effects such as fire return it to the atmosphere. The balance of these processes is the net carbon flux. To estimate the biospheric carbon flux for England and Wales, we address the statistical problem of inference for the sum of multiple outputs from a complex deterministic computer code whose input parameters are uncertain. The code is a process model which simulates the carbon dynamics of vegetation and soils, including the amount of carbon that is stored as a result of photosynthesis and the amount that is returned to the atmosphere through respiration. The aggregation of outputs corresponding to multiple sites and types of vegetation in a region gives an estimate of the total carbon flux for that region over a period of time. Expert prior opinions are elicited for marginal uncertainty about the relevant input parameters and for correlations of inputs between sites. A Gaussian process model is used to build emulators of the multiple code outputs and Bayesian uncertainty analysis is then used to propagate uncertainty in the input parameters through to uncertainty on the aggregated output. Numerical results are presented for England and Wales in the year 2000. It is estimated that vegetation and soils in England and Wales constituted a net sink of 7.55 Mt C (1 Mt C = 10¹² g of carbon) in 2000, with standard deviation 0.56 Mt C resulting from the sources of uncertainty that are considered.     

试析WTO争端解决的国际法拘束力

WTO成立以来的实践表明 ,其争端解决具有相当强的国际法拘束力 ,保证了WTO各项规则基本上得以有效实施 ,成为该组织的核心机制。本文从理论与实践结合的视角 ,分析WTO争端解决的国际法拘束力 ,着重从WTO争端解决的拘束力之条约依据、实践考察和存在问题三方面进行研究 ,并力图从一般国际法理论的高度来解释WTO的争端解决及其意义     

走向多元化的儿童文学理论研究

新时期以来,儿童文学理论研究走向了多元化,理论研究的多元化集中在两个层次上:一是儿童文学的功能性研究;二是儿童文学接受主体的研究。     

刑事违法观与犯罪构成关系论

按照主观违法论而加以建构的传统犯罪构成理论有别于按客观违法论建构的大陆法系犯罪论体系,两者有着不同的研究进路和研究方法。主观违法论强调有责之违法,行为人的主观罪过、客观的危害行为、刑事责任能力都是违法的构成要素,这种因人而异的违法观不能很好地为司法实践提供理论根据。从主观违法论立场出发,我们不可能从构成要件其中一个方面单独地判断违法性是否存在,传统犯罪构成理论将犯罪构成要件定位于反映行为社会危害性的事实特征,因此,犯罪构成只反映定罪结论,不反映定罪过程。     

Diagnostics for dependence within time series extremes

Summary. The analysis of extreme values within a stationary time series entails various assumptions concerning its long- and short-range dependence. We present a range of new diagnostic tools for assessing whether these assumptions are appropriate and for identifying structure within extreme events. These tools are based on tail characteristics of joint survivor functions but can be implemented by using existing estimation methods for extremes of univariate independent and identically distributed variables. Our diagnostic aids are illustrated through theoretical examples, simulation studies and by application to rainfall and exchange rate data. On the basis of these diagnostics we can explain characteristics that are found in the observed extreme events of these series and also gain insight into the properties of events that are more extreme than those observed.     

Choice of the primary analysis in longitudinal clinical trials

Missing data, and the bias they can cause, are an almost ever‐present concern in clinical trials. The last observation carried forward (LOCF) approach has been frequently utilized to handle missing data in clinical trials, and is often specified in conjunction with analysis of variance (LOCF ANOVA) for the primary analysis. Considerable advances in statistical methodology, and in our ability to implement these methods, have been made in recent years. Likelihood‐based, mixed‐effects model approaches implemented under the missing at random (MAR) framework are now easy to implement, and are commonly used to analyse clinical trial data. Furthermore, such approaches are more robust to the biases from missing data, and provide better control of Type I and Type II errors than LOCF ANOVA. Empirical research and analytic proof have demonstrated that the behaviour of LOCF is uncertain, and in many situations it has not been conservative. Using LOCF as a composite measure of safety, tolerability and efficacy can lead to erroneous conclusions regarding the effectiveness of a drug. This approach also violates the fundamental basis of statistics as it involves testing an outcome that is not a physical parameter of the population, but rather a quantity that can be influenced by investigator behaviour, trial design, etc. Practice should shift away from using LOCF ANOVA as the primary analysis and focus on likelihood‐based, mixed‐effects model approaches developed under the MAR framework, with missing not at random methods used to assess robustness of the primary analysis. Copyright © 2004 John Wiley & Sons, Ltd.