JOINT BEHAVIOUR OF PRECEDENCES AND EXCEEDANCES IN RANDOM THRESHOLD MODELS

This paper concerns the joint behaviour of precedence and exceedance statistics in random threshold models. Joint distributions of precedence and exceedance statistics, both exact and asymptotic, are obtained, and the results are illustrated for random thresholds based on order statistics and record values.     

森林灾害对我国林业经济增长的影响分析

森林灾害制约了我国林业经济的增长，已成为当前我国林业发展面临的主要问题之一。它关系到我国林业可持续发展实践的成败乃至整个社会经济的可持续发展。该文紧密联系我国林业的发展情况，利用全国1952—2001年森林灾害、林业经济增长的数据，分析了森林灾害对我国林业经济增长的影响模式，从理论上探讨了森林灾害与林业经济增长的内在相关性。     

Conditional Functional Principal Components Analysis

Abstract.  This work proposes an extension of the functional principal components analysis (FPCA) or Karhunen–Loève expansion, which can take into account non-parametrically the effects of an additional covariate. Such models can also be interpreted as non-parametric mixed effect models for functional data. We propose estimators based on kernel smoothers and a data-driven selection procedure of the smoothing parameters based on a two-step cross-validation criterion. The conditional FPCA is illustrated with the analysis of a data set consisting of egg laying curves for female fruit flies. Convergence rates are given for estimators of the conditional mean function and the conditional covariance operator when the entire curves are collected. Almost sure convergence is also proven when one observes discretized noisy sample paths only. A simulation study allows us to check the good behaviour of the estimators.     

测试产生的神经网络方法及若干问题研究

介绍了在微机上开发的一种基于神经网络的测试生成系统结构，详细讨论了系统中各模块的实现方案。从提高效率的角度，对电路测试生成中神经网络这一方法的发展及今后须解决的问题做了讨论     

多体交叉存储器等效存储体数的计算

对多体交叉存储器等效存储体数的计算进行了探讨 ,说明了多体交叉存储存在的问题 ,并指出了发展存储体系是非常必要的     

Genetic algorithms for numerical optimization

Genetic algorithms (GAs) are stochastic adaptive algorithms whose search method is based on simulation of natural genetic inheritance and Darwinian striving for survival. They can be used to find approximate solutions to numerical optimization problems in cases where finding the exact optimum is prohibitively expensive, or where no algorithm is known. However, such applications can encounter problems that sometimes delay, if not prevent, finding the optimal solutions with desired precision. In this paper we describe applications of GAs to numerical optimization, present three novel ways to handle such problems, and give some experimental results.     

基于面板数据的中国农业信贷绩效研究

文章基于面板数据,利用固定效应估计法和随机效应估计法,对我国在1999年至2002年间农业信贷的绩效作出实证研究。研究结果表明,我国农业信贷配置机制应作进一步的调整,以便提高农业信贷的绩效,支持农业发展。     

Effects of non-normality on the power function in a one-way random model

The effects of non-normality on type-I and type-II errors in a one-way random model are investigated for moderate departures from normality. It is found that the probabilities of both errors are more sensitive to the kurtosis of between group effects than that of within group effects.     

Using the EM-algorithm for survival data with incomplete categorical covariates

Incomplete covariate data is a common occurrence in many studies in which the outcome is survival time. With generalized linear models, when the missing covariates are categorical, a useful technique for obtaining parameter estimates is the EM by the method of weights proposed in Ibrahim (1990). In this article, we extend the EM by the method of weights to survival outcomes whose distributions may not fall in the class of generalized linear models. This method requires the estimation of the parameters of the distribution of the covariates. We present a clinical trials example with five covariates, four of which have some missing values.     

江苏林木种苗科技产业化发展与对策

分析了江苏林木种苗生产经营及科技发展的现状,认为要实现江苏林木种苗科技产业化的高速发展,必须建立起林木种苗科技创新体系;政府应转变职能,发挥宏观调控和监管的作用;建立健全林木种苗科技产业化社会服务体系。