Assumptions of the classical Linear Model (Clm) e So far, we know that given the Gauss Markov assumptions, OLS IS BLUE e In order to do classical hypothesis testing we need to add another assumption(beyond the Gauss-Markov assumptions) Assume that u is independent of x,x2…,xk and u is normally distributed with zero mean and variance 0: u- Normal(0, 02) Economics 20- Prof anderson

Redefining variables Changing the scale of the y variable will lead to a corresponding change in the scale of the coefficients and standard errors. so no change in the significance or interpretation Changing the scale of one x variable will lead to a change in the scale of that coefficient and standard error, so no change in the significance or interpretation Economics 20- Prof anderson

What is Heteroskedasticity Recall the assumption of homoskedastic implied that conditional on the explanator variables the variance of the unobserved error u was constant If this is not true that is if the variance of u is different for different values of thex's. then the errors are heteroskedastic

热分析(thermal analysis),顾名 思义,可以解释为以热进行分析的一 种方法。1977年在日本京都召开的国 际热分析协会(ICTA)第七次会议上, 给热分析下了如下定义:即热分析是 在程序控制温度下,测量物质的物理 性质与温度的关系的一类技术

1.一组样本与总体的比较 2.两组样本的比较(成组设计) 3.两组样本的比较(配对设计) 4.单因素多组样本的比较(成组设计) 5.双因素多组样本的比较(配伍组设计) 6.三因素三组及以上设计(拉丁方设计) 7.三个或以上因素并交互作用(正交设计)

I. Greetings II. Review Have a quiz III. Start the new lesson 1.Introduction This article talks about birth of bright ideas by the vividly paradigmatic methods After reading it, we have a new understanding about the mysterious question 2. Discourse analysis Part one (Paras.1-3)Opening remarks: All truly creative activities depend in some degree on the signals of the unconscious. Part two (Paras. 4-6) Discussing the birth of bright ideas with the example some famous persons

1.1 图像的概念 1.1.1图像的分类 1.1.2图像信息的分类 1.1.3图像处理的基本方法 1.1.4数字图像处理的几个基本术语 1.2数字图像处理技术 1.3 数字图像处理的发展历程与主要应用领域 发展历程 不断拓展的应用领域 1.4 课程学习要求

压缩目的 基本原理 基本方法 图像编码标准 7.1 编码的目的 7.2 图像压缩的基本原理 7.3 编码器和典型的编码方法

◼ 系统的构成 ◼ 数字化设备 ◼ 存储设备 ◼ 处理设备 ◼ 输出设备 ◼ 处理软件

7.4 无误差编码技术 Lossless Compression Techniques 7.5 有误差编码技术——映射器