Bayes Inference in Constant Partially Accelerated Life Tests for the Generalized Exponential Distribution with Progressive Censoring

In this paper, the problem of constant partially accelerated life tests when the lifetime follows the generalized exponential distribution is considered. Based on progressive type-II censoring scheme, the maximum likelihood and Bayes methods of estimation are used for estimating the distribution parameters and acceleration factor. A Monte Carlo simulation study is carried out to examine the performance of the obtained estimates.     

古今偏义复词的对比分析

＂偏义复词＂是一个语言学名词,它具有高度的概括性。古今偏义复词是继承发展的,两者有相同点,但又存在偏指义语素定位、对语境的依赖程度、语素的凝固性、语用等方面的差异,通过对比分析,可提高驾驭语言的能力。     

Geometric Anisotropic Spatial Point Pattern Analysis and Cox Processes

We consider spatial point processes with a pair correlation function, which depends only on the lag vector between a pair of points. Our interest is in statistical models with a special kind of ‘structured’ anisotropy: the pair correlation function is geometric anisotropic if it is elliptical but not spherical. In particular, we study Cox process models with an elliptical pair correlation function, including shot noise Cox processes and log Gaussian Cox processes, and we develop estimation procedures using summary statistics and Bayesian methods. Our methodology is illustrated on real and synthetic datasets of spatial point patterns.     

探讨现代企业财务分析的持续改进的几点建议

分析传统财务分析中存在的主要问题，结合当前的财务分析状况，从企业现金流量情况、资源的效能结构、企业创新能力、企业营销、成本控制等方面提出了一些对策和建议。     

基于趋势面分析的ST类上市公司分布特征研究

上证所与深证所共有1727只股票(含B股)(截止2010年5月7日),其中ST类股票169只.本文运用趋势面分析对ST类股票的分布特征进行了研究.研究结果表明,地理位置与ST类公司的数量之间有显著的相关性,了解其分布特征可以帮助投资者判断某一地理区域投资环境的优劣.     

An International Pooled Analysis for Obtaining a Benchmark Dose for Environmental Lead Exposure in Children

Lead is a recognized neurotoxicant, but estimating effects at the lowest measurable levels is difficult. An international pooled analysis of data from seven cohort studies reported an inverse and supra‐linear relationship between blood lead concentrations and IQ scores in children. The lack of a clear threshold presents a challenge to the identification of an acceptable level of exposure. The benchmark dose (BMD) is defined as the dose that leads to a specific known loss. As an alternative to elusive thresholds, the BMD is being used increasingly by regulatory authorities. Using the pooled data, this article presents BMD results and applies different statistical techniques in the analysis of multistudy data. The calculations showed only a limited variation between studies in the steepness of the dose‐response functions. BMD results were quite robust to modeling assumptions with the best fitting models yielding lower confidence limits (BMDLs) of about 0.1–1.0 μ g/dL for the dose leading to a loss of one IQ point. We conclude that current allowable blood lead concentrations need to be lowered and further prevention efforts are needed to protect children from lead toxicity.     

精神分裂分析：解析资本主义的新视角——读《反俄狄浦斯：资本主义与精神分裂症》

在《反俄狄浦斯：资本主义与精神分裂症》中，法国当代哲学家吉莱斯·德勒兹与利克斯·瓜塔里认为，弗洛伊德的俄狄浦斯情结是人们心中的欲望源泉，又是资本主义统治的基础。因此，为了使人们能够挣脱资本主义，欲望本能需转向为欲望机器。通过精神分裂分析，他们提出了精神分裂症患者才是“去俄狄浦斯化”的革命代理人，这与马克思分析资本主义造就自己掘墓人的思想如出一辙。     

Causality and interdependence analysis in linear econometric models with an application to fertility

This paper is an applied analysis of the causal structure of linear multi-equational econometric models. Its aim is to identify the kind of relationships linking the endogenous variables of the model, distinguishing between causal links and feedback loops. The investigation is first carried out within a deterministic framework and then moves on to show how the results may change inside a more realistic stochastic context. The causal analysis is then specifically applied to a linear simultaneous equation model explaining fertility rates. The analysis is carried out by means of a specific RATS programming code designed to show the specific nature of the relationships within the model.     

Gibbs sampling for marginal posterior expectations

In earlier work (Gelfand and Smith, 1990 and Gelfand et al, 1990) a sampling based approach using the Gibbs sampler was offered as a means for developing marginal posterior densities for a wide range of Bayesian problems several of which were previously inaccessible. Our purpose here is two-fold. First we flesh out the implementation of this approach for calculation of arbitrary expectations of interest. Secondly we offer comparison with perhaps the most prominent approach for calculating posterior expectations, analytic approximation involving application of the LaPlace method. Several illustrative examples are discussed as well. Clear advantages for the sampling based approach emerge.