Local convergency rate of MSE in density estimation using the second-order modulus of smoothness

In this article, the local convergence rate of the mean square error (MSE) corresponding to a delta sequence-based density estimators is investigated by using second-order modulus of continuity type majorants. We look at the rate of convergency of the MSE of estimator for densities belonging to the class of functions which are defined by the second-order finite differences. The main contribution of this study is to obtain stronger convergence rate of a MSE by relaxing the second-order differentiation condition when compared with the class of density functions defined by the first-order finite differences.     

国内电信运营商品牌整合研究

当前,随着国内电信业完成重组,在3G牌照的发放和三网融合的背景下,中国电信业进入了全业务运营时代,由两家寡头垄断变成三家竞争,竞争进一步加剧。三大运营商目前的品牌体系较为庞大和复杂,且没有推出融合的品牌。在世界电信行业的开放和电信业务的渗透与融合下,国外电信运营商大多通过整合品牌和拓展市场来提高核心竞争力。基于此,通过对国内电信运营商的品牌现状和品牌整合必要性的分析,再借鉴国外运营商品牌整合的成功经验,为三大运营商提出了相应的建议和对策。     

Heisenberg群上次拉普拉斯算子的幂算子基本解的等价形式

利用Heisenberg群上次拉普拉斯算子的热核与幂算子的基本解之间的关系,得到了幂算子基本解的一个等价形式以及水平梯度估计.     

改进的动态粒子群算法

为更好的解决动态优化问题,提出改进的粒子群算法（Improved Partic le Swarm Optim ization,IP-SO）,在算法中对pBest替代策略引入了随机化算子,并且对群体中的gBest引入了局部搜索,对随时间变化的最优值进行了精确定位,试验证明该算法对动态优化问题的有效性.     

经营者持大股是中小企业产权安排的有效形式

企业的产权制度受经济条件所制约,对企业的发展有重要影响,中小企业也不例外。本文主要运用新制度经济学的观点分析说明:经营者持大股及在此基础上的所有权与管理权的合一是最彻底的产权安排形式,是适应市场经济发展需要的,也是效率最高的企业组织方式。苏南乡镇集体企业改制的实践支持了经营者持大股的产权安排。     

基于国有企业经营者视角的激励机制解释

一方面,由我国市场发育的特点决定,国有企业经营者承担的职能更加复杂,对企业的生存发展也更为重要;另一方面,由多层委托-代理关系决定,国有企业的代理成本过高,国有企业经营者对企业所有者利益损害的可能性较大。尽快建立、完善对企业经营者的激励机制是国有企业及其所有者的现实选择。科学的经营者激励机制应体现两个特征:(1)按劳取酬;(2)有效竞争。     

具有周期实系数的2n阶微分算子的谱间隙

研究了具有周期实系数2n阶对称微分算子的谱间隙,得出其间隙是由一些开区间构成的,并给出了这些间隙长度的一个上界.     

国内电信运营商品牌整合研究

当前,随着国内电信业完成重组,在3G牌照的发放和三网融合的背景下,中国电信业进入了全业务运营时代,由两家寡头垄断变成三家竞争,竞争进一步加剧。三大运营商目前的品牌体系较为庞大和复杂,且没有推出融合的品牌。在世界电信行业的开放和电信业务的渗透与融合下,国外电信运营商大多通过整合品牌和拓展市场来提高核心竞争力。基于此,通过对国内电信运营商的品牌现状和品牌整合必要性的分析,再借鉴国外运营商品牌整合的成功经验,为三大运营商提出了相应的建议和对策。     

网络融合下基于运营服务的企业竞争力提升

结合企业竞争力和网络融合理论,对网络发展新时期的企业竞争力进行分析和讨论,提出网络融合背景下企业新竞争力要素以及竞争力指标体系,并对该企业指标体系进行物元模型建立及可拓学评价分析,得出的融合背景下最优化提升企业竞争力的运营及服务的方法,有助于信息运营商提升企业竞争力和改善企业管理服务。     

Inference on Counterfactual Distributions

Counterfactual distributions are important ingredients for policy analysis and decomposition analysis in empirical economics. In this article, we develop modeling and inference tools for counterfactual distributions based on regression methods. The counterfactual scenarios that we consider consist of ceteris paribus changes in either the distribution of covariates related to the outcome of interest or the conditional distribution of the outcome given covariates. For either of these scenarios, we derive joint functional central limit theorems and bootstrap validity results for regression‐based estimators of the status quo and counterfactual outcome distributions. These results allow us to construct simultaneous confidence sets for function‐valued effects of the counterfactual changes, including the effects on the entire distribution and quantile functions of the outcome as well as on related functionals. These confidence sets can be used to test functional hypotheses such as no‐effect, positive effect, or stochastic dominance. Our theory applies to general counterfactual changes and covers the main regression methods including classical, quantile, duration, and distribution regressions. We illustrate the results with an empirical application to wage decompositions using data for the United States. As a part of developing the main results, we introduce distribution regression as a comprehensive and flexible tool for modeling and estimating the entire conditional distribution. We show that distribution regression encompasses the Cox duration regression and represents a useful alternative to quantile regression. We establish functional central limit theorems and bootstrap validity results for the empirical distribution regression process and various related functionals.