Additive hazards regression of current status data with auxiliary covariates

This paper discusses the regression analysis of current status failure time data arising from the additive hazards model with auxiliary covariates. As often occurs in practice, it is impossible or impractical to measure the exact magnitude of covariates for all subjects in a study. To compensate the missing information, some auxiliary covariates are utilized instead. We propose two easy-to-implement procedures for estimation of regression parameters by making use of auxiliary information. The asymptotic properties of the resulting estimators are established and extensive numerical studies indicate that both procedures work well in practice.     

多维汇率联动期权跳——扩散模型及其定价

在资产价格服从跳——扩散模型,汇率服从不同跳跃幅度的不连续模型的基础上,考虑用无套利分析方法得到了期权应满足的随机微分方程,并由Feynman-Kac公式,得到了多种欧式汇率联动期权的计算公式;当汇率联动期权具有随机寿命时,进一步研究了多种欧式汇率联动期权的价格。     

ADE-4: a multivariate analysis and graphical display software

We present ADE-4, a multivariate analysis and graphical display software. Multivariate analysis methods available in ADE-4 include usual one-table methods like principal component analysis and correspondence analysis, spatial data analysis methods (using a total variance decomposition into local and global components, analogous to Moran and Geary indices), discriminant analysis and within/between groups analyses, many linear regression methods including lowess and polynomial regression, multiple and PLS (partial least squares) regression and orthogonal regression (principal component regression), projection methods like principal component analysis on instrumental variables, canonical correspondence analysis and many other variants, coinertia analysis and the RLQ method, and several three-way table (k-table) analysis methods. Graphical display techniques include an automatic collection of elementary graphics corresponding to groups of rows or to columns in the data table, thus providing a very efficient way for automatic k-table graphics and geographical mapping options. A dynamic graphic module allows interactive operations like searching, zooming, selection of points, and display of data values on factor maps. The user interface is simple and homogeneous among all the programs; this contributes to making the use of ADE-4 very easy for non- specialists in statistics, data analysis or computer science.     

论发展低碳经济的减排政策工具

为解决温室气体排放的外部性问题,各种减排政策工具应运而生。根据作用效果的不同,可分为抑制排放的政策工具和鼓励促进低排放的政策工具。在抑制排放的政策工具中,碳税和碳排放交易采用了不同的政策机理,碳税更适用于市场机制不完善的发展中国家,而碳排放交易则更适用于市场机制比较完善、经济发展成熟的发达国家。在鼓励促进低排放的政策工具中,通过综合运用财政补贴、税收优惠和差别定价等措施,对可再生能源的发展可发挥重要作用。     

农业生产风险管理策略的研究

农业生产经营风险管理所涉及的风险因素很多,主要有:(1)单产变化;(2)价格变化;(3)新技术或新知识变化;(4)农业投入水平变化;(5)政府政策变化;(6)法律变化;(7)消费者偏好变化,等等。通过权衡风险和收益,采用适宜的管理策略来规避风险,提高收益,形成了一系列非确定性关系下的风险决策方法。联系河北省20世纪90年代以来农业生产的实际情况,探讨了各种主要的规避或减少农业生产风险的方法和策略,如利用偏相关系数最小的方法选择稳定的生产项目;采用多种经营以分散风险的组合策略;提高农业生产经营灵活性的诸多措施;利用二次规划以建立风险最小而又能保证一定收入水平的最优规划方法等。     

对RC4算法的错误引入攻击研究

错误引入攻击假设攻击者可以向密码设备(智能卡)引入错误,使其出现错误的加密结果。攻击者同时利用正确的和错误的加密结果来发现隐藏在密码设备中的秘密信息(密钥)。该文给出了一种对RC4算法的错误引入攻击方法。模拟实验表明,一轮攻击有可能找出RC4初始状态中3个位置的值,连续使用该算法能以较高(大于1/2)的概率恢复RC4的整个初始状态。恢复整个初始状态所需的密钥字个数约为O(216),引入的错误数量约为O(216)。     

Generalized empirical likelihood inference in partial linear regression model for longitudinal data

In this paper, empirical likelihood inference for longitudinal data within the framework of partial linear regression models are investigated. The proposed procedures take into consideration the correlation within groups without involving direct estimation of nuisance parameters in the correlation matrix. The empirical likelihood method is used to estimate the regression coefficients and the baseline function, and to construct confidence intervals. A nonparametric version of Wilk's theorem for the limiting distribution of the empirical likelihood ratio is derived. Compared with methods based on normal approximations, the empirical likelihood does not require consistent estimators for the asymptotic variance and bias. The finite sample behaviour of the proposed method is evaluated with simulation and illustrated with an AIDS clinical trial data set.     

On tail behaviour of kth upper order statistics under fixed and random sample sizes via tail equivalence

For a fixed positive integer k, limit laws of linearly normalized kth upper order statistics are well known. In this article, a comprehensive study of tail behaviours of limit laws of normalized kth upper order statistics under fixed and random sample sizes is carried out using tail equivalence which leads to some interesting tail behaviours of the limit laws. These lead to definitive answers about their max domains of attraction. Stochastic ordering properties of the limit laws are also studied. The results obtained are not dependent on linear norming and apply to power norming as well and generalize some results already available in the literature. And the proofs given here are elementary.