Concentration behavior of the penalized least squares estimator

Consider the standard nonparametric regression model and take as estimator the penalized least squares function. In this article, we study the trade‐off between closeness to the true function and complexity penalization of the estimator, where complexity is described by a seminorm on a class of functions. First, we present an exponential concentration inequality revealing the concentration behavior of the trade‐off of the penalized least squares estimator around a nonrandom quantity, where such quantity depends on the problem under consideration. Then, under some conditions and for the proper choice of the tuning parameter, we obtain bounds for this nonrandom quantity. We illustrate our results with some examples that include the smoothing splines estimator.     

Determination of Discrete Spectrum in a Random Field

We consider a two dimensional frequency model in a random field, which can be used to model textures and also has wide applications in Statistical Signal Processing. First we consider the usual least squares estimators and obtain the consistency and the asymptotic distribution of the least squares estimators. Next we consider an estimator, which can be obtained by maximizing the periodogram function. It is observed that the least squares estimators and the estimators obtained by maximizing the periodogram function are asymptotically equivalent. Some numerical experiments are performed to see how the results work for finite samples. We apply our results on simulated textures to observe how the different estimators perform in estimating the true textures from a noisy data.     

Software for Learning and for Doing Statistics

The community of statisticians and statistics educators should take responsibility for the evaluation and improvement of software quality from the perspective of education. The paper will develop a perspective, an ideal system of requirements to critically evaluate existing software and to produce future software more adequate both for learning and doing statistics in introductory courses. Different kinds of tools and microworlds are needed. After discussing general requirements for such programs, a prototypical ideal software system will be presented in detail. It will be illustrated how such a system could be used to construct learning environments and to support elementary data analysis with exploratory working style.     

On the test of the correction mechanism for mis-pricing between assets using a statistical yield spread model

This paper investigates the existence of a correction mechanism for mis-pricing between Japanese stock and bond. By this correction mechanism we mean that when deviations occur from the equilibrium levels of the expected return differentials between stock and bond — the risk premium differentials, the market will tend to correct the mis-pricing and bring the expected return differentials back to the equilibrium levels. We assume that the yield spread between the predicted earnings price ratio of stock and the yield to maturity of bond reflects the risk premium between stock and bond, and estimate the equilibrium risk premium differentials and mis-prices between stock and bond by modelling their behaviors with a statistical yield spread model (SYS). Empirical results strongly indicate the existence of the mis-pricing correction mechanism, suggesting the inefficiency of securities markets.     

黑龙江省医药销售企业现代化管理刍议

黑龙江省各医药销售企业规模日益扩大,伴随着信息技术在各行各业日益深入的应用,传统的手工记账已经不能满足日益增加的业务量的需要及进行有效控制和管理的需要.因此,应用现代财务软件已经势在必行.     

高新技术产业项目的绩效管理——基于软件项目管理的实证研究

针对高新技术产业广泛采用项目驱动的管理模式,在理论分析和实地调查的基础上,实证研究了客户、项目经理和激励制度对项目业绩的影响。结果发现客户对定制化需求大,但对标准化软件却有更高的边际利润;政府机构是大客户,但其垄断地位,所带来的销售利润率和项目交付率并不高;地域商务环境影响交易成本,进而显著地影响了项目的业绩水平;项目业绩受项目经理激励程度和方式的影响,但与项目经理认知特征无显著关系。这些结论说明软件企业在制定战略时,需以定制产品和定制服务为起点,但最终必须研发成为具有行业特点的标准化应用软件;在资源分配时,应重点关注地域商务环境好的客户,适当提高非政府机构行业客户的资源分配比例;应健全项目经理激励制度,促使项目提前完工,从而降低开发成本,增加项目业绩。     

论软件能力成熟度模型CMM

CMM模型是目前国际上最流行和最实用的一种软件生产过程标准。实施CMM,是软件企业实现软件开发的标准化,提高软件生产效率的必要条件。     

Use of Statistics in the Monetary Policy of the Czech National Bank: The Case of a Country in Transition

In the presented text the authors judge the importance of statistics in the monetary policy of the Czech National Bank (CNB) over the course of the economic transformation process, with particular consideration of changing statistical needs and the possibilities and limits of statistical data exploitation in the monetary analyses. The importance of statistics lies on the level of collection and processing of statistical information and on the level of use of statistical methods to analyse data. Since the start of the 1990s the requirements for statistics were significantly influenced by monetary policy. In the period 1990–1997, monetary targeting was the primary influential factor. Since 1998, the monetary policy is influenced by inflation targeting. Statistical priorities switched from monetary data to economy and financial market data. Much progress has been made in the use of statistical methods for analysing data. Statistics available at present cover the CNB's standard monetary-policy requirements and are on par with those in developed countries. Its further development will reflect the standard changes taking place in the more advanced countries.     

第三方物流企业管理信息系统的结构设计与开发

本文分析了第三方物流企业的经营特点，提出了比较适合于当前和第三物流企业发展的管理信息系统结构图，并在此基础上构建了系统的软件和网络结构，最后提出了系统的数据库设计方案。     

烟草商业配送物流设计分析

根据目前烟草配送的现状和发展趋势，着重介绍和分析了烟草商业配送物流设计中件烟存贮和条烟分拣的基本方式，并对相关主要设备和系统案例进行描述。