数理统计教学探讨

本文主要从重视概率论中常见相关分布、数理统计的概念、基本思想和难点四个方面探讨了如何搞好数理统计的教学。     

《沉香屑第一炉香》的叙事策略探究

《沉香屑第一炉香》故事情节上未见新意,它的成功主要是得益于张爱玲对于题材的处理和叙事手段的运用。因此对这一文本的分析,如果仅仅停留在一般意义上的艺术特色的总结上,是不足以挖掘出它的深层艺术魅力的,这里拟以分析作品的叙事学理论为依据,从叙事视角的选择和叙述时间的巧妙控制这两个具体的叙事元素入手,来阐释张爱玲独特的叙事策略,揭示其审美价值。     

Digital Module 11: Bayesian Psychometric Modeling https://ncme.elevate.commpartners.com

In this digital ITEMS module, Dr. Roy Levy describes Bayesian approaches to psychometric modeling. He discusses how Bayesian inference is a mechanism for reasoning in a probability-modeling framework and is well-suited to core problems in educational measurement: reasoning from student performances on an assessment to make inferences about their capabilities more broadly conceived, as well as fitting models to characterize the psychometric properties of tasks. The approach is first developed in the context of estimating a mean and variance of a normal distribution before turning to the context of unidimensional item response theory (IRT) models for dichotomously scored data. Dr. Levy illustrates the process of fitting Bayesian models using the JAGS software facilitated through the R statistical environment. The module is designed to be relevant for students, researchers, and data scientists in various disciplines such as education, psychology, sociology, political science, business, health, and other social sciences. It contains audio-narrated slides, diagnostic quiz questions, and data-based activities with video solutions as well as curated resources and a glossary.     

模糊随机向量的性质及在回归模型中的应用

该文研究了模糊随机向量的性质，并将其应用于带有随机干扰的模糊线性回归模型，得到了它的渐进无偏模型，给出了它的近似最优估计。     

在不放回抽样条件下总体均值的估计

本文证明了在不放回抽样条件下,样本平均数不仅是总体均值的无偏估计,而且还是相合估计。     

半导体方程解的下界估计

本文应用Stampacchia的最大模估计方法,对半导体方程的混合初边值解的下界作出估计。     

防止工程承包商高估冒算的几种有效措施

集多年工作之经验，提出了防止工程承包商高估冒算的几种有效措施。对建筑市场的规范化管理具有一定的指导作用。     

抛物型方程半离散解的最优误差估计

讨论了抛物问题的半离散非协调有限元方法.首先,给出了所讨论问题的非协调有限元的半离散逼近格式.其次,利用Riesz投影算子,并在合理的正则性假设下,通过一些新的技巧和方法,得到了关于模和能量模方面的一些最优误差估计式.     

浦东开发中车辆轮渡运量的数学模型

本文通过3点法基本原理和基本方法的介绍建立了机动车辆越江轮渡运量的数学模型,并加以分析。     

A New Recursive Parameter Estimation Algorithm of Multi－Variable Time－Varying AR Model

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