二元对立原则与文学赏析

二元对立现象广泛存在于文学作品之中,二元对立原则也成为一种重要的文学分析方法。运用此原则研究体现二元对立内涵的文学作品,有助于更全面,深入地发掘作品的内涵和艺术精髓。     

Marginal and association regression models for longitudinal binary data with drop‐outs: A likelihood‐based approach

Longitudinal data often contain missing observations, and it is in general difficult to justify particular missing data mechanisms, whether random or not, that may be hard to distinguish. The authors describe a likelihood‐based approach to estimating both the mean response and association parameters for longitudinal binary data with drop‐outs. They specify marginal and dependence structures as regression models which link the responses to the covariates. They illustrate their approach using a data set from the Waterloo Smoking Prevention Project They also report the results of simulation studies carried out to assess the performance of their technique under various circumstances.     

合成孔径系统光束的大气传输

利用光束的合成孔径系统,通过控制子孔径系统发射光束的相位,可以实现光束的快速瞄准、跟踪及合成.本文在已开展的真空中合成孔径系统光束控制研究工作的基础上,进一步揭示了光束合成孔径系统可以有效地消除大气湍流对光束传输的影响,给出了数值模拟计算结果和三维图形演示.     

通过尘障后的激光束特征

从辐射亮度方程出发,推导了在大粒子近似条件下,激光束通过尘障以后约化通量密度和漫射通量密度的表达式,并在四个常用激光波长上作了数值计算.结果表明,当散射粒子浓度较大时,尘障后表面上的漫射通量密度通常比约化通量密度高很多,且散布在较宽的范围内.随着光束远离尘障,漫射通量密度迅速减小,约化通量密度重新占据主导地位.     

Semi-parametric estimation of ROC curves based on binomial regression modelling

This paper presents a method of estimating a receiver operating characteristic (ROC) curve when the underlying diagnostic variable X is continuous and fully observed. The new method is based on modelling the probability of response given X , rather than the distribution of X given response. The method offers advantages in modelling flexibility and computational simplicity. The resulting ROC curve estimates are semi-parametric and can, in principle, take an infinite variety of shapes. Moreover, model selection can be based on standard methods within the binomial regression framework. Statistical accuracy of the curve estimate is provided by a simply implemented bootstrap approach.     

《墨经》光学八条概念理析

对《墨经》光学八条的主要概念进行归类整理和详细分析 ,为最终正确理解经文含义尝试一种新的思路和方法 .     

Optimal sampling for repeated binary measurements

The authors consider the optimal design of sampling schedules for binary sequence data. They propose an approach which allows a variety of goals to be reflected in the utility function by including deterministic sampling cost, a term related to prediction, and if relevant, a term related to learning about a treatment effect To this end, they use a nonparametric probability model relying on a minimal number of assumptions. They show how their assumption of partial exchangeability for the binary sequence of data allows the sampling distribution to be written as a mixture of homogeneous Markov chains of order k. The implementation follows the approach of Quintana & Müller (2004), which uses a Dirichlet process prior for the mixture.     

Bootstrap Estimation of Benchmark Doses and Confidence Limits with Clustered Quantal Data

The benchmark dose (BMD) is an exposure level that would induce a small risk increase (BMR level) above the background. The BMD approach to deriving a reference dose for risk assessment of noncancer effects is advantageous in that the estimate of BMD is not restricted to experimental doses and utilizes most available dose-response information. To quantify statistical uncertainty of a BMD estimate, we often calculate and report its lower confidence limit (i.e., BMDL), and may even consider it as a more conservative alternative to BMD itself. Computation of BMDL may involve normal confidence limits to BMD in conjunction with the delta method. Therefore, factors, such as small sample size and nonlinearity in model parameters, can affect the performance of the delta method BMDL, and alternative methods are useful. In this article, we propose a bootstrap method to estimate BMDL utilizing a scheme that consists of a resampling of residuals after model fitting and a one-step formula for parameter estimation. We illustrate the method with clustered binary data from developmental toxicity experiments. Our analysis shows that with moderately elevated dose-response data, the distribution of BMD estimator tends to be left-skewed and bootstrap BMDL s are smaller than the delta method BMDL s on average, hence quantifying risk more conservatively. Statistically, the bootstrap BMDL quantifies the uncertainty of the true BMD more honestly than the delta method BMDL as its coverage probability is closer to the nominal level than that of delta method BMDL. We find that BMD and BMDL estimates are generally insensitive to model choices provided that the models fit the data comparably well near the region of BMD. Our analysis also suggests that, in the presence of a significant and moderately strong dose-response relationship, the developmental toxicity experiments under the standard protocol support dose-response assessment at 5% BMR for BMD and 95% confidence level for BMDL.     

二元序列优化的二种快速算法

基于二相编码雷达对大压缩比信号的要求,提出了一种比直接算法平均提高效率0.5P(P 为序列长度)的快速数字优化方法。作为这种快速算法的实际应用,还对 P=255的二相编码脉冲压缩信号进行了优化。     

反相集成电光调制器中共面波导的偏移效应

在实验室条件下，以ＬｉＮｂＯ３晶体为衬底，加工制作了各种不同程度的偏移性电极（共面波导），模拟光调制的反相结构。通过在微波频段下的实验研究．结果表明反相调制器共面波导偏移引起的微波传输损失是完全可以忽略的。