Notes on Interval Estimation of Odds Ratio in Matched Pairs under Stratified Sampling

We develop four asymptotic interval estimators and one exact interval estimator for the odds ratio (OR) under stratified random sampling with matched pairs. We apply Monte Carlo simulation to evaluate the performance of these five interval estimators. We note that the conditional score test-based interval estimator with a monotonic transformation and the interval estimator based on the Mantel–Haenszel (MH) type point estimator with the logarithmic transformation are generally preferable to the others considered here. We also note that the conditional exact confidence interval can be of use when the total number of matched pairs with discordant responses is small.     

Decomposition of Variance for Spatial Cox Processes

Abstract. Spatial Cox point processes is a natural framework for quantifying the various sources of variation governing the spatial distribution of rain forest trees. We introduce a general criterion for variance decomposition for spatial Cox processes and apply it to specific Cox process models with additive or log linear random intensity functions. We moreover consider a new and flexible class of pair correlation function models given in terms of normal variance mixture covariance functions. The proposed methodology is applied to point pattern data sets of locations of tropical rain forest trees.     

FDR control of detected regions by multiscale matched filtering

Feature extraction from observed noisy samples is a common important problem in statistics and engineering. This paper presents a novel general statistical approach to the region detection problem in long data sequences. The proposed technique is a multiscale kernel regression in conjunction with statistical multiple testing for region detection while controlling the false discovery rate (FDR) and maximizing the signal-to-noise ratio via matched filtering. This is achieved by considering a one-dimensional region detection problem as its equivalent zero-dimensional peak detection problem. The detection method does not require a priori knowledge of the shape of the nonzero regions. However, if the shape of the nonzero regions is known a priori, e.g., rectangular pulse, the signal regions can also be reconstructed from the detected peaks, seen as their topological point representatives. Simulations show that the method can effectively perform signal detection and reconstruction in the simulated data under high noise conditions, while controlling the FDR of detected regions and their reconstructed length.     

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.     

商务英语合同中同义词并用的特征及其翻译

研究指出,为了确保准确性和严密性,商务英语合同中存在着同义词并用的现象。根据目的的不同,可以将这些词归纳为两类,即＂求同型同义词＂和＂求异型同义词＂。按照词性的不同,文章进一步将这些词进行分类,并尝试通过例句论证在翻译这些词语时可以采用的策略。     

实验室工作定量评价

针对实验室工作各指标量纲不统一,较难定量度量的情况.笔者力图采用集对分析,给定一指标优值,将被评人员各指标连同其量纲与指标优值直接比较定量评价,以合理、全面反映实验室工作的质与量.使分配更能体现多劳多得的原则,进一步词动实验室人员的工作积极性.     

结对编程在计算机专业学生编程实践的应用

结对编程是敏捷的和基于实践的软件开发方法学。将结对编程引入计算机专业编程设计中,并探讨了在编程实践中引入结对编程的意义,以及如何应用结对编程有效地进行编程实践。     

Tl-1223超导体的额外氧效应

结合有效价键模型和原子对势的理论计算研究了Tl-1223超导相的Cu-O金字塔五配位上由于Fe掺杂所导致的额外氧效应.研究结果表明:Fe掺杂原子占据Cu晶位后,将导致额外氧进入晶格而占据Ca原子四方网络的间隙位置.Fe掺杂所带来的额外氧,对Cu-O面载流子有很大的局域化作用,导致了载流子浓度降低,同时破坏了Cu-O平面的完整性,也致使Tc下降,这一点得到了超导电性测量的证实.     

英语教学中小组与对子活动的作用与意义

论述了小组和对子活动在英语课堂基础训练中的作用和组织小组与对子活动的理论依据——认知发展理论 ,阐释了小组和对子活动的特点与作用 ,并提出了几种训练方法     

Efficacy of programmes for the unemployed: discrete time modelling of duration data from a matched-comparison study

An evaluation is described of two UK Government programmes for the long-term unemployed in Great Britain, Employment Training and Employment Action, using discrete time hazard modelling of event histories. The study design employed a closely matched comparison group and carefully chosen control variables to minimize the effect of selection bias on conclusions. The effect of unobserved heterogeneity is investigated by using some standard random effect model formulations.