变化义名谓句的认知语义分析

变化义名谓句属于动态义名谓句,其谓语大都是“顺序义名词 了”的结构形式。变化义名谓句的变化主要是名词的语义值的变化,根据其语义值的变化度将变化义名谓句分为增值变化句、等值变化句、减值变化句和比值变化句四种类型。名词在谓语位置上表现的变化包括自然的变化和社会性的变化两种形式。变化总是在一定序列当中发生的,名词的顺序序列有三种:绝对顺序序列、相对顺序序列和临时顺序序列。变化是以参照点为背景的,每个名词所指的事物既以其他事物为背景,同时又是其他事物的背景。     

复变函数与积分变换课堂教学改革的探讨

文章主要介绍复变函数与积分变换课堂教学改革,讨论了以下几点内容：合适的教材,学生的兴趣与能力的培养,理论背景及思想方法的重要性,双向交流和多种教学手段的运用。     

一种交互式Stackelberg主从对策的两层决策方法

本文建立了一类上层多目标、下层单目标的两人两层决策问题的数学模型和决策机制，充分利用满意度的概念和性质，提出了一种交互式决策方法．该方法具有交互过程简单，便于在计算机上实现等优点，并有助于进一步研究决策支持系统．     

General location multivariate latent variable models for mixed correlated bounded continuous,ordinal, and nominal responses with non-ignorable missing data

Using a multivariate latent variable approach, this article proposes some new general models to analyze the correlated bounded continuous and categorical (nominal or/and ordinal) responses with and without non-ignorable missing values. First, we discuss regression methods for jointly analyzing continuous, nominal, and ordinal responses that we motivated by analyzing data from studies of toxicity development. Second, using the beta and Dirichlet distributions, we extend the models so that some bounded continuous responses are replaced for continuous responses. The joint distribution of the bounded continuous, nominal and ordinal variables is decomposed into a marginal multinomial distribution for the nominal variable and a conditional multivariate joint distribution for the bounded continuous and ordinal variables given the nominal variable. We estimate the regression parameters under the new general location models using the maximum-likelihood method. Sensitivity analysis is also performed to study the influence of small perturbations of the parameters of the missing mechanisms of the model on the maximal normal curvature. The proposed models are applied to two data sets: BMI, Steatosis and Osteoporosis data and Tehran household expenditure budgets.     

为学生布置合理的学习任务漫谈

本文重点探讨怎样才能最有效地运用学习任务去促进学习问题 ,即探讨影响学生学习活动的几个关键变量 ,介绍布置学习任务的基本原则     

Orthogonal weighted empirical likelihood-based variable selection for semiparametric instrumental variable models

In this article, we consider the variable selection for a class of semiparametric instrumental variable models. By combining orthogonal weighting technology and empirical likelihood method, we propose an orthogonal weighted empirical likelihood-based variable selection procedure. Under some mild conditions, the consistency and sparsity of the variable selection procedure are studied. Furthermore, some simulation studies and a real data analysis are carried out to examine the finite-sample performance of the proposed method.     

Estimation of a rare sensitive attribute in a stratified two-stage unrelated randomized response model by using Poisson probability distribution

The present article deals with the estimation of mean number of respondents who possess a rare sensitive character in presence of known and unknown proportion of a rare unrelated non-sensitive attribute by using the Poisson probability distribution in stratified random sampling as well as in stratified random double sampling. The variance of rare sensitive character is also derived under proportional and optimal allocation methods in stratified random sampling when stratum sizes are known and unknown. The properties of the suggested estimation procedures have been deeply examined. The proposed model is found to be dominant over Lee et al. [Estimation of a rare sensitive attribute in a stratified sample using Poisson distribution. Statistics. 2013;47:575–589] model. Numerical illustrations are presented to support the theoretical results. Results are analysed and suitable recommendations are put forward to the survey practitioners.     

用泰勒级数计算连续随机变量的均值和方差

本文给出了利用泰勒级数计算连续型随机变量函数的均值和方差近似解的方法。     

双馈风电机组并网特性仿真研究

为确保并网型双馈风力发电机（Double Fed Induction Generator，DFIG）在系统电压骤降和短路故障下能够稳定运行，在分析双馈风力发电机组整体模型结构的基础上，采用桨距角控制策略，通过调节叶片与风向的夹角，降低风力机组输出的机械功率，控制发电机发出的功率，改善其并网特性以确保并网风电场稳定运行.最后，在Matlab/Simulink仿真平台上搭建模型进行仿真计算.仿真结果表明了双馈风电机组具有一定的动态适应能力，从而验证了控制策略的有效性，体现了对系统暂态电压稳定性的贡献.