A distribution-free test for deprivation dominance

The Raw1sian perspective on social policy pays particular attentionto the least advantaged members of society, but how should "the least advantaged" be identified? The concept of deprivation dominance operationalizes in part the Rawlsian evaluation of the welfare of the least advantaged members of society, but a statistical procedure for testing deprivation dominance is needed. In this paper, we construct a new distribution-free test for deprivation dominance and apply i t to Canadian income survey data     

Model‐Averaged Confidence Intervals

We develop an approach to evaluating frequentist model averaging procedures by considering them in a simple situation in which there are two‐nested linear regression models over which we average. We introduce a general class of model averaged confidence intervals, obtain exact expressions for the coverage and the scaled expected length of the intervals, and use these to compute these quantities for the model averaged profile likelihood (MPI) and model‐averaged tail area confidence intervals proposed by D. Fletcher and D. Turek. We show that the MPI confidence intervals can perform more poorly than the standard confidence interval used after model selection but ignoring the model selection process. The model‐averaged tail area confidence intervals perform better than the MPI and postmodel‐selection confidence intervals but, for the examples that we consider, offer little over simply using the standard confidence interval for θ under the full model, with the same nominal coverage.     

MP-120工作站批量提取法医样本DNA

本文运用MP-120自动化DNA提取仪对72份血斑检材进行DNA提取扩增,荧光检测信号均值在200-3000RFU之间,表明所建立的MP-120工作操作程序在血斑的批量提取方面具有较高的成功率、稳定性和均一性,适用于法医DNA数据库的建立和案件中血斑样本的批量提取。     

Estimating Semiparametric ARCH(∞) Models by Kernel Smoothing Methods1

We investigate a class of semiparametric ARCH(∞) models that includes as a special case the partially nonparametric (PNP) model introduced by Engle and Ng (1993) and which allows for both flexible dynamics and flexible function form with regard to the “news impact” function. We show that the functional part of the model satisfies a type II linear integral equation and give simple conditions under which there is a unique solution. We propose an estimation method that is based on kernel smoothing and profiled likelihood. We establish the distribution theory of the parametric components and the pointwise distribution of the nonparametric component of the model. We also discuss efficiency of both the parametric part and the nonparametric part. We investigate the performance of our procedures on simulated data and on a sample of S&P500 index returns. We find evidence of asymmetric news impact functions, consistent with the parametric analysis.     

上市公司财务危机实证研究

财务危机数量的增多及投资风险急剧增大,使得建立一套科学的上市公司财务风险评价体系显得尤为必要。运用剖面分析和Logistic回归模型对ST公司及配对样本建立模型。剖面分析表明资产收益率判定效果最佳,Logistic回归模型对样本t-1年的判别率达到81．6％。     

琼脂糖凝胶电泳实验技术研究

通过对细叶榕（F.microcarpa）基因组DNA的琼脂糖凝胶电泳检测,针对琼脂糖凝胶电泳中出现的常见问题,对琼脂糖凝胶电泳实验技术进行深入研究,对从事分子生物学实验工作者具有指导作用.     

Phase II monitoring of binary profiles in the presence of within-profile autocorrelation based on Markov Model

This paper introduces a Markov model in Phase II profile monitoring with autocorrelated binary response variable. In the proposed approach, a logistic regression model is extended to describe the within-profile autocorrelation. The likelihood function is constructed and then a particle swarm optimization algorithm (PSO) is tuned and utilized to estimate the model parameters. Furthermore, two control charts are extended in which the covariance matrix is derived based on the Fisher information matrix. Simulation studies are conducted to evaluate the detecting capability of the proposed control charts. A numerical example is also given to illustrate the application of the proposed method.     

Empirical likelihood inferences for varying coefficient partially nonlinear models

In this article, empirical likelihood inferences for the varying coefficient partially nonlinear models are investigated. An empirical log-likelihood ratio function for the unknown parameter vector in the nonlinear function part and a residual-adjusted empirical log-likelihood ratio function for the nonparametric component are proposed. The corresponding Wilks phenomena are proved and the confidence regions for parametric component and nonparametric component are constructed. Simulation studies indicate that, in terms of coverage probabilities and average areas of the confidence regions, the empirical likelihood method performs better than the normal approximation-based method. Furthermore, a real data set application is also provided to illustrate the proposed empirical likelihood estimation technique.     

三七、肉苁蓉、枸杞和黄芪总DNA提取方法的研究

本实验研究以中药材三七的叶子、肉苁蓉的茎、宁夏枸杞的果实、黄芪的根为材料,对改进CTAB法、SDS法提取的基因组DNA进行了比较研究.由于四种中药材所含成分有很大的差别,所得到的DNA样品在直观上也有很大的区别.结果表明,改良CTAB法适合四种中药材基因组DNA的提取.