Characterizations based on order statistics under sampling without replacement

In this paper, we consider finite populations and investigate their characterizations by regressions of order statistics under sampling without replacement. We also investigate some asymptotic results when the size of the population goes to infinity.     

Empirical likelihood for a partially linear model with covariate data missing at random

In this paper, we consider the partial linear model with the covariables missing at random. Empirical likelihood ratios for the regression coefficients and the baseline function are investigated, the empirical log-likelihood ratios are proven to be asymptotically chi-squared and the corresponding confidence regions for the parameters of interest are then constructed. The finite sample behavior of the proposed method is evaluated with simulation and illustrated with an AIDS clinical trial dataset.     

Semiparametric estimation for count data through weighted distributions

This paper is concerned with semiparametric discrete kernel estimators when the unknown count distribution can be considered to have a general weighted Poisson form. The estimator is constructed by multiplying the Poisson estimate with a nonparametric discrete kernel-type estimate of the Poisson weight function. Comparisons are then carried out with the ordinary discrete kernel probability mass function estimators. The Poisson weight function is thus a local multiplicative correction factor, and is considered as the uniform measure to detect departures from the equidispersed Poisson distribution. In this way, the effects of dispersion and zero-proportion with respect to the standard Poisson distribution are also minimized. This method of estimation is also applied to the weighted binomial form for the count distribution having a finite support. The proposed estimators, in addition to being simple, easy-to-implement and effective, also outperform the competing nonparametric and parametric estimators in finite-sample situations. Two examples illustrate this new semiparametric estimation.     

"第五媒体时代"的政府公共关系刍议

人类已经进入"第五媒体时代".继报纸、广播、电视、互联网之后的第五媒体抑或是手机媒体.具有媒介粘滞、瞬时精准、病毒式营销等无与伦比的传播特性.第五媒体是柄"双刃剑",它在给政府公共关系带来前所未有的挑战的同时,也带来了前所未有的机遇.利用第五媒体开拓政府公共关系的新视野,是一个政治、社会问题,也是一个技术、法律问题.     

Threshold Estimation for Stochastic Processes with Small Noise

Consider a process satisfying a stochastic differential equation with unknown drift parameter, and suppose that discrete observations are given. It is known that a simple least squares estimator (LSE) can be consistent but numerically unstable in the sense of large standard deviations under finite samples when the noise process has jumps. We propose a filter to cut large shocks from data and construct the same LSE from data selected by the filter. The proposed estimator can be asymptotically equivalent to the usual LSE, whose asymptotic distribution strongly depends on the noise process. However, in numerical study, it looked asymptotically normal in an example where filter was chosen suitably, and the noise was a Lévy process. We will try to justify this phenomenon mathematically, under certain restricted assumptions.     

中国手机媒体发展前景分析

分析了日本I-MODE取得巨大成功的原因和不足之处,指出无论是从技术上还是从企业模式上,手机媒体在中国的发展都不可能直接拷贝I-MODE模式,只能以I-MODE为借鉴。中国电信发展迅速,手机媒体在中国现阶段发展的重点是手机短信,手机短信市场巨大,但在发展中也存在着一些问题,主要有虚假与不良信息传播、侵犯个人隐私、信息垃圾、信息安全等。然而可以预见,随着3G在中国的逐渐普及以及相关法规的完善,手机媒体将实现网络化、宽带化,将带来一个巨大的媒体市场。     

可以容忍的不平等：过渡与差别--柯亨思想的一种政治哲学考量

柯亨认为,马克思主义追求的社会主义理想是消除资本主义的阶级剥削,代之以经济平等和彻底的民主,但是,从历史和现实看,我们都距离马克恩的理想有很大距离。即使作为当前的合理目标是最好的选择,市场社会主义至多仍然是次优的选择。鉴于历史发展的进程要求,即过渡特征,我们必须对结果意义上的各种不平等采取包容政策。但在社会主义机会平等的条件下,收入差异在仅仅反映了不同的收入、闲暇差异时才是可以接受的。社会主义平等并非“机械的平等”或“结果的相同”。