非线性方程解的存在与唯一

本文讨论非线性方程解的存在的唯一性，得到了几个同胚定理，并应用于牛顿运动方程组的2n周期解的存在唯一性研究。推广了文[1-3,5-8]的部分结果。     

基于两阶段风险的定制类信息系统开发项目绩效模型构建与实证研究

开发阶段绩效风险和实施阶段绩效风险是信息系统开发项目中两个重要的中介变量,它们调节了项目内在不确定性和管理实践对项目绩效的影响.在项目不同阶段,绩效风险的主要影响因素是不同的.在开发阶段,主要影响因素是项目计划和控制、内部整合和用户参与;在实施阶段,主要影响因素是用户参与和高层支持.另外,用户参与直接地正向影响产品绩效,但对过程绩效没有直接影响.过程绩效对产品绩效也没有显著的正向影响.     

餐饮业顾客满意度指数模型的实证研究 ——基于大学饮食服务中心的实地调研

全国性的顾客满意度指数测评工作已经获得各国普遍的关注,本文基于ACSI和中国服务业顾客满意度模型构建了我国餐饮行业顾客满意度概念模型,并根据湖北宜昌市多所大学饮食服务中心的问卷调查数据进行了结构方程模型分析、检验,修正初始概念模型,得到了有效的餐饮业顾客满意度概念模型,进而在分析餐饮管理与服务现存问题的基础上,提出了改进的措施,为创造良好的餐饮业管理质量提供建议。     

基于有限差分的化学剂平面运移规律数值模拟

在化学驱中，各种化学剂在地层中的浓度对于驱油是极为关键的，理想的情况是合理设计化学剂注入参数（注 入浓度、注入量和注入速度），使得地层各处化学剂的浓度接近实验室设计的最佳浓度，从而驱油效率最高。化学剂在 地层中除正常的对流外，还会发生扩散和吸咐，而平面渗流中，各处渗流速度的不同，使得化学剂在平面的浓度分布比 一维情况复杂得多。依据有限差分法和雅可比迭代方法，根据达西渗流定律确定平面渗流速度场和压力场分布，再根 据已求得的速度场结合化学剂运移的对流弥散方程，求解得到了化学剂的浓度场。数值模拟结果给出了不同时刻化 学剂在地层中的浓度分布，并针对不同的运移滞后系数、弥散系数和化学剂注入量，分析了这些参数对于化学剂分布 的影响。     

Saddlepoint-Based Bootstrap Inference for Quadratic Estimating Equations

Abstract.  We propose an easy to implement method for making small sample parametric inference about the root of an estimating equation expressible as a quadratic form in normal random variables. It is based on saddlepoint approximations to the distribution of the estimating equation whose unique root is a parameter's maximum likelihood estimator (MLE), while substituting conditional MLEs for the remaining (nuisance) parameters. Monotoncity of the estimating equation in its parameter argument enables us to relate these approximations to those for the estimator of interest. The proposed method is equivalent to a parametric bootstrap percentile approach where Monte Carlo simulation is replaced by saddlepoint approximation. It finds applications in many areas of statistics including, nonlinear regression, time series analysis, inference on ratios of regression parameters in linear models and calibration. We demonstrate the method in the context of some classical examples from nonlinear regression models and ratios of regression parameter problems. Simulation results for these show that the proposed method, apart from being generally easier to implement, yields confidence intervals with lengths and coverage probabilities that compare favourably with those obtained from several competing methods proposed in the literature over the past half-century.     

Generalized polya eggenberger family of distributions and its relation to lagrangian katz family

Janardan (1973) introduced the generalized Polya Eggenberger family of distributions (GPED) as a limiting distribution of the generalized Markov-Polya distribution (GMPD). Janardan and Rao (1982) gave a number of characterizing properties of the generalized Markov-Polya and generalized Polya Eggenberger distributions. Here, the GPED family characterized by four parameters, is formally defined and studied. The probability generating function, its moments, and certain recurrence relations with the moments are provided. The Lagrangian Katz family of distributions (Consul and Famoye (1996)) is shown to be a sub-class of the family of GPED (or GPED ₁ ) as it is called in this paper). A generalized Polya Eggenberger distribution of the second kind (GPED ₂ ) is also introduced and some of it's properties are given. Recurrence relations for the probabilities of GPED ₁ and GPED ₂ are given. A number of other structural and characteristic properties of the GPED ₁ are provided, from which the properties of Lagrangian Katz family follow. The parameters of GMPD ₁ are estimated by the method of moments and the maximum likelihood method. An application is provided.     

无阻尼单摆运动方程反函数形式的精确解

利用函数进行变换,将单摆的二阶非线性微分方程化为一阶非线性微分方程进行积分求解,再利用三角函数变换,最后求出用Legendre椭圆积分表示的无阻尼单摆运动方程反函数形式的精确解。     

Book Reviews

Books reviewed:
Philip Hans Franses & Dick van Dijk, Non-linear Time Series Models in Empirical Finance
Herbert Spirer, Louise Spirer & A.J. Jaffe, Misused Statistics
Deborah J. Bennett, Randomness
C.E. Linneborg, Data Analysis by Resampling: Concepts and Applications
I. Clark and W.V. Harper, Practical Geostatistics 2000     

正则长波方程的同宿轨道

在对一类正则长波方程定性分析的基础上,得到了其全局相图.由此推知,此类方程具有渐近值相同的钟状孤波解,并求得了其精确孤立波解,即此正则长波方程的同宿轨道.     

Variance bounds for estimators in autoregressive models with constraints

We consider nonlinear and heteroscedastic autoregressive models whose residuals are martingale increments with conditional distributions that fulfil certain constraints. We treat two classes of constraints: residuals depending on the past through some function of the past observations only, and residuals that are invariant under some finite group of transformations. We determine the efficient influence function for estimators of the autoregressive parameter in such models, calculate variance bounds, discuss information gains, and suggest how to construct efficient estimators. Without constraints, efficient estimators can be given by weighted least squares estimators. With the constraints considered here, efficient estimators are obtained differently, as one-step improvements of some initial estimator, similarly as in autoregressive models with independent increments.